CM2008 / MFPT2008 CONFERENCE PROGRAMME

Tuesday 15th July

12:00 – 18:30 Registration

A / B / C
14:00-16:00 / WORKSHOP:Acoustic emission for condition monitoring: an introduction
Dr T Holroyd, Holroyd Instruments
Chair:Dr S King, Rolls-Royce / WORKSHOP: Data management for condition monitoring
Dr M Provost1, Mr C Mott2, Dr M Jessop3, Bombardier Transportation1, nCode2, University of York3
Chair: Mr J McAvoy, Cybula / WORKSHOP:Revisiting prediction methods and the prognosis of remaining useful life
Dr C Byington, Impact Technologies
Chair: Prof L Kuravsky, Russian Aviation Co.
16:00-18:00 / WORKSHOP: Condition monitoring
3rd party certification -your best option
Dr S Roe, PCN/BINDT
Chair: Prof L Kuravsky, Russian Aviation Co. / WORKSHOP: Mathematical modelling and computer simulation for supporting gear diagnostic inference
Prof WBartelmus, Wroclaw University of Technology
Chair: Prof S Radkowski, Warsaw University of Technology / OPEN SESSION:Impact Technologies’ activities
Dr C Byington, Impact Technologies
Chair: Prof L Kuravsky

18:30 – 19:30Welcome reception for CM2008/MFPT2008 Committee members and cash sponsors – by invitation only

19:30CM2008 / MFPT2008 Welcome buffet

Wednesday 16th July

08:00 / Registration
08:30 / Opening ceremony
08:50 / Plenary keynote lecture: [184]The significance of assets condition monitoring in the development of engineering asset management, Prof J Mathew, Dr F Stapelberg,Australia
Chair: Mr R Lyon, President - BINDT
09:25 / Plenary invited distinguished lecture: Wavelength diversity super-resolution for condition based maintenance, HRB Prof N Bose, USA
Chair: Mr R Lyon, President - BINDT

10:00Tea, coffee & exhibition

1A / 1B / 1C / 1D / 1E / 1F / 1G
Multidimensional diagnostics of complex mechanical systems
CHAIR: Prof S Radkowski, WarsawUniversity of Technology / Advanced signal processing for condition monitoring (1)
CHAIR: Dr N Martin, Gipsa-lab / NDE and health monitoring of complex structures
CHAIR:ProfLFradkin,LondonSouthBankUniversity / The role of acoustic emission in monitoring machines, processes and structures
CHAIRS: Prof K Holford, Dr R Pullin, Cardiff University / Trained structures and statistical methods for condition monitoring (1)
CHAIRS: Prof L Kuravsky, Dr S Baranov, Russian Aviation Co. / Experimental and virtual models for machines and plant diagnostics
CHAIR: Prof A Lucifredi, University of Genova / Diagnostics of gas turbine engines
CHAIR: Dr Y Li, CranfieldUniversity
10:25 / [1] Vibro-acoustic diagnostics of low-energy stage of failures evolution
S Radkowski, WarsawUniversity of Technology / [7] Frequency and amplitude tracking for short non stationary and nonlinear signals
N Martin, M Vieira, Gipsa-lab / [14] Special Presentation:
Non-destructive testing as a tool in the space shuttle Columbia accident investigation
S McDanels, NASA / [19] The role of acoustic emission in monitoring machines and structures
R Reuben, Heriot Watt University / [29] Development of the wavelet-based confirmatory factor analysis for monitoring of system factors
L Kuravsky, S Baranov, Russian Aviation Co. / [35] On the development of virtual models, interfaced to hardware and software instruments, to support the experimental activity for diagnostic applications
A Lucifredi, P Silvestri, University of Genova / [40] Model based diagnosis technique for the cogeneration system (effect of operational condition on characteristics of turbine and compressor)
T Kawai1, Y Kamada2, Osaka City University1, Nissan Motor Co. Ltd2
10:50 / [2] Usage of symbolic analysis in condition monitoring
A Galezia, S Radkowski, WarsawUniversity of Technology / [8] Space vector analysis for the diagnosis of high frequency amplitude and phase modulations in induction motor stator current
M Chabert, B Trajin, J Regnier, J Faucher, ENSEEIHT / [20] Development and application of higher functionality acoustic emission (AE) sensors
T Holroyd, Holroyd Instruments / [27] A new method of localisation of vibration sources and operational defects in complex constructions based on the time reversal and the finite element model of system (part 1: theoretical researches)
P Artelny, P Korotin, A Suvorov, Institute of Applied Physics RAS / [34] Reliability-based design of a slat track fatigue life using mesh morphing technology
R d’Ippolito1, S Donders1, M Hack1, N Tzannetakis2, G Van der Linden3, LMS1, NOESIS Solutions2, ASCO Industries3 / [41] Gas path prognostic analysis for an industrial gas turbine
Y Li1, P Nilkitsaranont2, Cranfield University1, Chevron Thailand Exploration and Production2
11:10 / [3] Dynamic of ships shaft line
A Grzadziela, Naval University of Gdynia / [9] Complex-valued signal processing for condition monitoring
P Granjon, GIPSA-lab / [18] Automatic NDT method for crack detection
T Merazi, A University of Sciences & Technology / [21] A Framework for detecting fatigue fractures using acoustic emission
J Hensman, K Worden, R Pullin, K Holford, M Eaton, S Evans, CardiffUniversity / [28] A new method of localization of vibration sources and operational defects in complex constructions based on the time reversal and the finite element model of system (Part 2. Experimental works)
P Artelny, P Korotin, A Suvorov, Institute of Applied Physics RAS / [33] Vibration analysis of virtual damaged gears
C Carmignani, P Forte, G Melani, University of Pisa / [42] A comprehensive approach for measurement validation and health state determination of gas turbines: methodology and field application
M Venturini, R Bettocchi, M Pinelli, P Spina, University of Ferrara
11:30 / [4] Use of the principal components analysis in the diesel engine diagnostics based on the spectrum of the vibroacoustic signal
M Jasinski, G Boruta, Warminsko-Mazurski University / [10] Comparison between the frequency spectrogram and polynomial modelling in the characterisation of cross-modulated vibration components
F Leonard, Institut de Recherche d’Hydro-Quebec / [16] Modelling propagation of ultrasonic guided waves in the layered steel/grout/steel structures
L Fradkin1, V Zernov1, P Mudge2, London South Bank University1, The Welding Institute2 / [22] Acoustic emission for corrosion detection
P Cole, J Watson, Physical Acoustics / [26] Diagnosis and monitoring complex industrial processes based on self-organising maps
C Frey, Fraunhofer Institute / [193] Virtual experimental modal analysis:an application of simulation models to diagnostics
A Lucifredi, P Silvestri
University of Genova / [43] Turbomachinery performance diagnostics – a practical approach using gas path analysis
P Escher1, J Zumbrunn1, J Tan2, EscherTec1, Mariterm SA2
11:50 / [5] Support Vector machines and cluster analysis for fault detection and classification of rotating equipment
K Gryllias, C Yiakopoulas, I Antoniadis, NationalTechnicalUniversity of Athens / [11] Analysing MBN signals of different materials by time-frequency methods
L Padovese1, N Martin2, University of Sao Paulo1, GIPSA-lab2 / [17] Recent advances in simulation of NDT configurations
P Calmon, CEA LIST / [23] An attempt to correlate gas void fraction with acoustic emission generated from two-phase air / water flow
D Mba, S Al-lababidi, A Addali, Cranfield University / [30] Studying influence of manoeuvring loads occurrences and climatic conditions of basing on aircraft damage accumulation rate with the aid of trained structures
S Baranov, L Kuravsky, N Baranov, Russian Aviation Co. / [37] Using model-based fault detection to simplify predictive maintenance
A Bates, Artesis / [44] Gas path analysis applied to an aero derivative gas turbine used for power generation
E Tsoutsanis1, Y Li1, P Pildis1, M Newby2, Cranfield University2, Manx Electricity Authority2
12:10 / [6] The application of condition monitoring methodologies for certification of reliability in electric landing gear actuators
P Phillips1, D Diston1, J Payne2, S Pandya2, A Starr1, University of Manchester1, Messier Dowty2, University of Hertfordshire3 / [12] Handling systems condition monitoring using vibrations and motor current
S Sieg-Zieba, E Tructin, L Jaubert, CETIM / Application of ultrasonic guided waves for monitoring components in service
P Mudge, TWI / [24] Flight test of acoustic emission damage detection system on a military jet
I Read, P Foote, D Tunnicliffe, J McFeat, Y MacPheat, BAE Systems / [31] Psychological training on the base of a neuronet technology
L Kuravsky, A Margolis, G Yuriev, MoscowStateUniversity of Psychology and Education / [38] Role of support vector classifiers in optimal model selection fault detection of rolling element bearings
Z Hameed, Y Hong, Y Cho, C Song, SeoulNationalUniversity / [45] Detection of blades rubs and looseness in gas turbines – operational field experience and laboratory study
S Leong, L Hee, MalaysianUniversity of Technology
12:30 / [179] Calibration free, optical measurements of gas composition for industrial process control in harsh environments
W Johnstone, A McGettrick, K Duffin, G Stewart, University of Strathclyde / [13] A method for distinguishing between complex transient signals in condition monitoring applications
T Pinpart, G West, S Galloway, M Judd, University of Strathclyde / [187] A de-convolution technique used for NDT in x-ray & CT
K Chui1, A Wride1, D Stanfield1, S Chui1, Image Enhancement Technology1 Ltd, Worcester Acute Hospital2 / [25] Modelling and quantification of acoustic emission testing
P Wilcox, J Scholey, M Wisnom, M Friswell, University of Bristol / [32] Cepstral and statistical analysis to determine the fatigue crack depth in a rotor system
T Malysheva, A Zakhezin, South-UralStateUniversity / [39] A new method of damage detection by using the reciprocal and time-reversal properties of elastic waves
H Go, InhaUniversity / [46] Random and regular modes of monitoring
V Giniotis1, M Rybokas1, A Hope2, Vilnius Gediminas Technical University1, Southampton Solent University2

12:50Lunch & exhibition

13:35 / Plenary keynote lecture: [190] Optical diagnostics for developing and testing clean combustion technologies, Prof D Greenhalgh, UK
Chair: Prof K Holmberg, VTT
14:10 / Plenary invited distinguished lecture: Vibro-acoustic diagnostics of low energy faults, Prof S Radkowski, Poland
Chair: Prof K Holmberg, VTT

14:45Tea, coffee exhibition

15:00Britannia visit, dinner and guided Edinburgh tour

Thursday 17th July

08:00 / Registration
08:30 / Plenary keynote lecture: [106] Advanced signal processing in mechanical fault diagnosis, Prof S Lahdelma, Dr E Juuso, Finland
Chair: Prof L Gelman, Cranfield University
09:05 / Plenary keynote lecture: [185] Condition monitoring and diagnostics as tools for maintenance, Prof J Vizintin, Slovenia
Chair: Mr R Lyon, President - BINDT

09:40Tea, Coffee & Exhibition

2A / 2B / 2C / 2D / 2E / 2F / 2G
Damage detection and diagnosis
CHAIR: Prof L Gelman, CranfieldUniversity / Diagnostics through pattern recognition and novelty detection (1)
CHAIR: Dr S King, Rolls Royce / Pipeline and underground asset condition monitoring
CHAIR:Prof K Horoshenkov, University of Bradford / E-maintenance
CHAIR: Prof K Holmberg, VTT / Trained structures and statistical methods for condition monitoring (2)
CHAIRS: Prof L Kuravsky, Dr S Baranov, Russian Aviation Co. / Integrated vehicle health management (IVHM) – advancements in CM, sensor technology and IVHM integration frameworks and service interfaces
CHAIR: Dr S Roe, PCN/BINDT / Incipient and developing fault detection and monitoring (1)
CHAIRS: Dr F Balitsky, Dr A Sokolova, Machinery Engineering Research Institute, Russian Academy of Science
10:10 / [47] Novel higher order spectra for damage detection in transient conditions
L Gelman, E Lapena, CranfieldUniversity / [53] Pilot evaluation of GRID technology for EHM applications
S King, Rolls Royce / [60] The effect of roughness on the attenuation of eigen-modes in water pipes
K Horoshenkov, G Maximov, E Podjachev, E Ortega, University of Bradford / [66] Actors and roles in e-maintenance
E Jantunen1, A Adgar2, A Arnaiz3, VTT1, University of Sunderland2, Fundacion Tekniker3 / [73] Fiber bragg gratings for detection of planetary gear damage in helicopter transmissions
J Coker1, D Pines1, P Samuel1, J Kiddy2, C Baldwin2, University of Maryland1, Aither Engineering2 / [80] Integrated vehicle health management (IVHM) the next evolution within condition monitoring
S Roe, PCN/BINDT / [90] Incipient fault detection as an obligatory component of condition monitoring for up-to-date predictive maintenance
A Sokolova, F Balitsky, MERI RAS
10:35 / [48] Quality assessment of a laser cut based on captured acoustic emission signals
J Grum, T Kek, The University of Ljubljana / [54] Incipient failure prediction in aero engines via empirical mode decomposition
A Bird, Rolls Royce / [61] Sonic characterisation of change in pipes
K Horoshenkov, A Tolstoy, T Bin Ali, University of Bradford / [67] The complexity of RFID in reality – a Volvo case
S Apel, A Stromdahl, Volvo / [74] Statistical techniques for condition monitoring of manufacturing processes
D Clifton, Oxford University / [81] Knowledge representation framework for railway rolling stock maintenance processes
D Lane1, E Miguelanez1, K Brown1, A Roselli2, Heriot-Watt University1, MERMEC2 / [89] Condition monitoring of the equipment in real-time-technology of safe-save maintenance of the 21st century
V Kostyukov, SPC Dynamics
10:55 / [49] Condition monitoring in reality-widening horizons beyond the machine: Part 1
K Innes, R Parchewsky, Shell / [55] Constructing and re-training models for condition monitoring in jet engines
P Bannister, D Clifton, L TarassenkoOxfordUniversity / [62] Using acoustic reflectometry to detect blockages in natural gas pipe lines
B Lennox, K Papadopoulou, X Wang, J Turner, K Lewis, University of Manchester / [68] Semantic web services for a distributed e-maintenance framework
E Gilabert, S Ferreiro, A Arnaiz, Fundacion Tekniker /

[75] A resources based engineering asset management model

A Haider,University of South Australia / [82] Advanced rotorcraft oil debris monitoring for the 21st century
S Greenfield, Eaton Aerospace / [135] Vibration condition monitoring as a means of service life management of IBR-2 movable-reflector modulator
V Sizarev, N Dollezhal, Research and Development Institute of Power Engineering
11:15 / [49] Condition monitoring in reality-widening horizons beyond the machine: Part 2
K Innes, R Parchewsky, Shell / [56] Gaussian process latent variable models and isomap for fault detection within engine health monitoring context
L Ecizola1, D King1, C Fairbrother1, M Walters1, D Ault1, I Sever1, S King1, V Kadirkamanathan2, Rolls Royce1, The University of Sheffield2 / [63] Rotating optical geometry sensor for pipe inspection
C Frey, Fraunhofer Institute IITB / [69] Wireless sensing strategies for plant monitoring in DYNAMITE project
S Mekid, R Pietruszkiewicz, The University of Manchester / [76] Hidden markov models for condition monitoring of bearing damage
E Karatoprak, IstanbulTechnicalUniversity / [188] A review, and challenges in the application of AE to machinery monitoring
D Mba, Cranfield University / [88] Rolling bearing field fault detection and diagnostics technique to employ for gas turbine unit casing vibration
A Sokolova, F Balitsky, MERI RAS
11:35 / [50] Vibration damage detection in a aircraft engine gearbox
F Combet1, L Gelman1, P Anuzis2, R Slater2, Cranfield University1, Rolls-Royce2 / [58] Overview of wireless sensor research at the Rolls-Royce control and systems university technology centre
H Thompson, Rolls Royce / Diagnosis and monitoring of complex industrial processes based on self-organising maps
C Frey, Fraunhofer Institute, IITB / [70] A system for mobile maintenance decision support
J Campos1, E Jantunen2, O Prakash1, Vaxjo University1, VTT1 / [77] A validated model for the prediction of combustion related faults in medium-speed diesel engines using crankshaft torsional vibration
P Charles, University of Manchester / [83] Monitoring of diesel fuel injection using acoustic emission (AE)
W Abdou, C Hunter, M Shehadeh, J Steel, R Reuben, Heriot-Watt University / [134] Formation of orthogonal diagnostic attributes for vibrodiagnostic purposes
V Kostjukov, SPC Dynamics
11:55 / [52] Damage detection through nonlinear excitation and system identification
M Hajj, G Bordonaro, Virginia Polytechnic Institute and State University / [59] High dimensional visualisation for novelty detection
D Clifton, OxfordUniversity / [64] Modelling wear damage accumulation in slurry pipeline systems
M Lipsett, University of Alberta / [71] Vibrodiagnostic service of compressor units of the main line stations at the level of gas-transport conpany
V Zasetskij, A Tikhvinskij, VNIIGAZ / [79] Sensor fusion in CM applications
T Bradshaw, Physical Acoustics / [84] Automated decision support system for lubricant evaluation
M Timusk, G Dalton, Laurentian University / [192] Dynamic behaviour of a de-laminated composite beam
I Ullah, J Sinha, University of Manchester
12:15 / [142] In-service fatigue prediction in turbo-machinery
L Gelman, T Noble, Cranfield University / [101] Engine health monitoring and high dimensional data
M Alkarouri, A Hills, V Kadirkamanathan, The University of Sheffield / [65] The development of online wear debris analysis sensor using pseudo 3D images of particles and flow control
R Matdan, M Khan, D Cooper, A Starr,The University of Manchester / [72] Investigation of uncertainty in rotating machinery vibration monitoring and reliability of diagnostics
M Eidukeviciute, KaunasUniversity of Technology / [183] Mastering predictive maintenance: static and dynamic motor testing as part of a predictive maintenance program
T Thomas, Baker Instrument Company / [85] Advanced acoustic methods for on-stream inspection
P Cole, Physical Acoustics Ltd / [169] Diagnosis of incipient gear failure using optimal frequencies selection method
L Castillo, UNED

12:35Lunch & Exhibition

13:50 / Plenary keynote lecture: [191] Predictive modelling of damage progression for reinforced composite materials, Prof A Long, UK
Chair: Prof K Holmberg, VTT
14:25 / Plenary invited distinguished lecture: 5 steps to heaven: a Rolls-Royce perspective, Prof I Jennions, UK
Chair: Prof L Gelman, Cranfield University

15:00Tea, coffee exhibition

3A / 3B / 3C / 3D / 3E / 3F / 3G
Gear and bearing condition monitoring and diagnostics (1)
CHAIR: Prof W Bartelmus, WroclawUniversity of Technology / Optical sensors for condition monitoring of key plants
CHAIR: Dr P Niewczas, University of Strathclyde / Advanced signal processing for condition monitoring (2)
CHAIR: Prof S Lahdelma, University of Oulu / Ultrasonic guided waves
CHAIR: Dr T Gan, The Welding Institute / Prognostics
CHAIR: Mr V Fox, BAE Systems / Education and training in maintenance
CHAIR: Dr C Emmanouilidis, CETI Institute / Incipient and developing fault detection and monitoring (2)
CHAIRS: Dr A Sokolva, Dr F Balitsky, Machinery Engineering Research Institute, Russian Academy of Science
15:25 / [96] External load yielding statistical characteristics as measures of machine condition
W Bartelmus, R Zimroz, WroclawUniversity of Technology / [182] Optical sensors for condition monitoring of key plants in energy production
P Niewczas, University of Strathclyde / Advanced signal processing in fault diagnosis
S Lahdelma, E Juuso, University of Oulu / [113] Long range inspection of engineering assets using guided ultrasonic waves
C Ennaceur, P Mudge, T Gan, The Welding Institute / [120] Application of RAM-T case for machinery failure prevention
V Fox, BAE Systems / [127] Current trends in e-training and m-training and prospects for maintenance vocational training
C Emmanouilidis, N Papathanassiou, A Papakonstantinou, CETI Institute / [137] Classification of the state monitoring systems
S Boichenko, SPC Dynamics
15:50 / [97] Gearbox fault diagnosis using Hilbert transform and segmented regression
M Hoseini, M Mandal, M Zuo, G Mani, University of Alberta / [180] Distributed optical fibre sensing of temperature using time-correlated two-photon excited fluorescence
C Dalzell, I Ruddock, T Han, University of Strathclyde /

[107] New time domain method for the detection of roller bearing defects

T Doguer, J Strackeljan, Otto-von-Guericke-Universität Magdeburg

/ [114] Modelling of guided ultrasonic waves in aircraft wiring
Y Gharaibeh1,2, S Soua1, S Chan1, T Gan1, G Edwards1, The Welding Institute2, Brunel University2 / [121] Revisiting prediction methods and the prognosis of remaining useful life
C Byington, M Roemer, G Vachtsevanos, Impact Technologies / [128] Next generation maintenance systems(NGMS): emerging educational and training needs to support an adaptive approach to maintenance planning and improve decision support
A Labib, University of Portsmouth / [138] Correcting amplitude and phase measurement of accelerometer in frequency domain
A Badri, K Sinha, University of Manchester
16:10 / [92] Application of signals separation / extraction techniques for diagnostics of driving units in mining machines
R Zimroz, WroclawUniversity of Technology / [181] In-fibre point sensing of magnetic field strength using novel photonic sensor configurations
P Orr1, P Niewczas1, J McDonald1, M Walsh2, W Morris2, University of Strathclyde1, EURATOM/UKAEA2 /

[108] Radio frequency measurements of bearing currents in an induction motor

V Särkimäki, J Ahola, T Lindh, R Tiainen,

LappeenrantaUniversity of Technology / [115] Long term monitoring of offshore installations using ultrasonic guided waves
P Mudge, M Kayous, S Chan, The Welding Institute / [122] High frequency vibration monitoring system for incipient fault detection and isolations of gears, bearings and shafts/couplings
C Byington, M Watson, J Sheldon, H Lee, S Amin, Impact Technologies / [129] An analysis of maintenance education and training needs in European SME’s and an IT platform enriching maintenance curricula with industrial expertise
Y Bakouros, S Panagiotidou, University of Western Macedonia+ / [133] Carbon nanotube thread for multifunctional structures
M Schulz1, N Mallik1, C Jayasinghe1, P Salunke1, G Li, D Hurd1, W Cho1, E Head1, V Shanov1, X Zhu1, T Wang1, M Abu-Ali1, B Walker1, J Lee1, M Kumar1, S Yarmolenko2, J Sankar2 University of Cincinnati1, North Carolina Agricultural and Technical State University2
16:30 / [93] Examination of the condition of gear wheels affected by the complex cases of gear transmission damage
T Figlus, Silesian University of Technology / [178] Concept level evaluation of a full-scale deployment of fibre bragg grating sensors for measuring forces in JET during plasma disruption events
P Niewczas1, G Fusiek1, C Lescure2, M Johnson2, E Ivings2, A West2, P Crolla1, M Walsh2,
University of Strathclyde1,
EURATOM/UKAEA2 / [109] Design considerations of energy harvesting wireless sensors for condition monitoring of electric motors
J Ahola, V Särkimäki, T Ahonen, A Kosonen, R Tiainen, T Lindh,
LappeenrantaUniversity of Technology / [116] Modelling of long range ultrasonic waves in complex structures
S Soua, S Chan, T Gan, The Welding Institute / [123] Power converter prognostics
L Casey, M Prestero, G Davis, F Flynn, J Perkinson, SatCon / [130] Some European initiatives in requirements within the maintenance function
J Franlund, UTEK / [158] Acoustic emission techniques applied to steam wastage estimation and fault detection in an industrial process heating application
S Ramadas, University of Southampton
16:50 / [95] Analytical description and numerical simulation of the dynamic behaviour of a gear transmission with a broken tooth
F Chaari, National School of Engineers of Sfax, Tunisia / [176] Wavelet analysis for the investigation of misaligned geophone features
E Tshitshonu1, S Heyns2, Vaal University of Technology1, University of Pretoria2 / [154] Case-based condition monitoring in large scale systems
T Ahola1, E Juuso2, Outokumpu Tornio Works1, University of Oulu2 / [117] Development of a permanent installation tool for structural health monitoring
M Kayous, G Penney, I Daniel, P Jackson, Plant Integrity Ltd / [124] Predictive wear debris characteristics for prognosis of scuffing under lubricated reciprocated sliding
T Itoh, OitaTechnicalCollege / [131] Analysis of the skills gap and training requirements within the maintenance function
A Adgar, D Baglee, University of Sunderland / [139] High energy x-ray diffraction as a method of strain analysis
S Zhang1, A Korsunsky2, ISIS Facility1, University of Oxford
17:10 / [98] Instantaneous power as a diagnostic symptom of bearing damage
A Dzwonkowski1, L Swedrowski1, J Rusek2, GdanskUniversity of Technology1, University of Mining and Metallurgy2 / [157] Condition monitoring using thin film ultrasonic sensors
J Elgoyhen, J Hood, D Hutson, K Kirk, University of the West of Scotland / [110] Acoustic emissions from oil lubricated metal on metal sliding contacts
L Wang, R Wood, J Sun, University of Southampton / [118] Training and certification in long range ultrasonic testing
M Spicer, C Ennaceur, P Mudge, The Welding Institute / [125] Motor condition monitoring: efficiency does matter
T Thomas, Baker Instrument Company / [132] Integrated equipment effectiveness (IEE)
F Anvari1, R Edwards1, A Starr2, The University of Manchester1, The University of Hertfordshire2 / [87] Problems of technical diagnostics of machines and equipment
A Lukiyanov, S Eliseev, A Khomenko, Irkutsk State University of Railway Engineering
17:30 / [94] A study upon vibroactivity of the transmission housing with the addition of ribs
T Figlus, Silesian University of Technology / [102] An artificial intelligence approach for measurement and monitoring of pressure at the residual limb/socket interface
P Sewell1, S Noroozi1, J Vinney1, R Amali2, S Andrews3, Bournemouth University1, University of the West of England2, Southmead Hospital3 / [111] Monitoring bending fatigue failure in helical gears using acoustic emission, vibration and on-line oil debris analysis: a comparative study
A Onsy1, R Bicker1, B Shaw1, C Rowland2, T Kent3, Newcastle University1, University of Southampton2, Kittiwake3 / [119] Monitoring of hydrogen assisted cracking in high strength bolts using leave-in-place ultrasonic sensors
D Xiang1, G Zhao1, R Bayles2, Intelligent Automation Inc1, Naval Research Laboratory2 / [126] A preliminary study for the efficiency of the wear debris analysis and thermography as independent or integrated fault diagnosis methods in tool wear monitoring
P Botsaris, I Tsanakas, I Siouris, DemokritosUniversity of Thrace / [86] A new approach to machinery vibration analysis
A Prygunov, Murmansk State Technical University

18:00Exhibition close