Programme 11 September 2018

 



Tuesday 11 September
08.00Registration – Room: Conference Centre Foyer
Tea, Coffee and Exhibition – Room: Banqueting Suite
 Training workshops – Free of charge to all full-time delegates, those who booked daily attendance to Tuesday 11 September 2018 and exhibitors. Workshops are chargeable to those who booked daily attendance for Monday 10 and Wednesday 12 September 2018.
Room: 4B 
08.00-09.30 Lubrication Analysis Training Workshop
S Greenfield – Room: 4B
09.00-09.30Plenary Keynote Lecture [201] Recent advances in the monitoring of gear wear
Professor A D Ball, UK
Chair: Professor L Gelman
Room: Gallery 2

09.30- 10.00 CM and NDT Exhibition Spotlight Session
Chair: Professor A Hope
Room: Conference Theatre
09.30-11.00
Infrared Thermography Training Workshop
C Pearson – Room: 4B
  Session 4A – Vibration analysis, diagnostics and prognostics – industrial case studies

Chair: Professor A Hope
Room: Gallery 2
Session 4B – Condition monitoring by electrical analysis

Chair: G Walker
Room: Gallery 1
Session 4C – Signal processing: Fault diagnosis for complex system monitoring

Chair: Dr N Martin
Room: 1A

Session 4D – In memory of the late Professor V Kostyukov: Condition monitoring methods and technologies

Chair: S Boychenko
Room: 1B and 1C
10.00-10.20[202] Update on ISO standards in condition monitoring and vibration analysis

S Mills
SpectrumCBM Ltd, UK

[215] Overview of electrical condition monitoring approaches: remit of new BINDT electrical CM panel and how it can help you

G Walker
Faraday Predictive Ltd, UK

[204] Vibration response demodulation, shock model and time tracking

X Laval1, N Martin1, P Bellemain1, Z Y Li1, C Mailhes2 and C Pachaud3
1Université Grenoble Alpes, France
2University of Toulouse, France
3Panazol, France
[205] Some problems with health monitoring based on vibration monitoring

A V Kostyukov, S N Boychenko and A P Naumenko
Dynamics SPC, Russia
10.20-10.40[206] An animated introduction to vibration analysis

D Whittle
RMS Ltd, UK

[219] The relevance of partial discharge measurement to high-voltage networks

M Selzer-Grant
HVPD Ltd, UK
[208] Accuracy of speed determination of a machine from frequency demodulation of response vibration signals

R B Randall and W A Smith
University of New South Wales, Australia

[209] The big data technology in real-time condition monitoring systems

A V Kostyukov and S N Boychenko
Dynamics SPC, Russia

10.40-11.00[210] The need for asset history data when analysing vibration

D Manning-Ohren
ERIKS, UK

[223] Condition monitoring as an asset management activity – well, what were you expecting?

T McGrail
Asset Management and Monitoring Technology, UK
[212] Vibration-based health monitoring methodology for helicopter gearboxes

Y Marnissi1, D Abboud1 and M Elbadaoui1,2
1Safran Tech, France
2University of Lyon, France

[213] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
11.00-11.30
Tea, Coffee and Exhibition – Room: Banqueting Suite
11.00-12.30 Condition-Based Maintenance Training Workshop
S Mills – Room: 4B 
  Session 4A continued – Vibration analysis, diagnostics and prognostics – industrial case studies

Chair: Professor A Hope
Room: Gallery 2
Session 4B continued – Condition monitoring by electrical analysis 

Chair: G Walker
Room: Gallery 1
Session 4C continued – Signal processing: Fault diagnosis for complex system monitoring

Chair: Dr N Martin
Room: 1A

Session 4D continued – New technologies for gearbox monitoring, testing and modelling

Chair: Professor F Pellicano
Room: 1B and 1C
11.30-11.50[214] Visualising vibration – a ‘game changer’ for troubleshooting, diagnostics and RCA

K Gallant
RMS Ltd, UK

[229] Condition monitoring of large electrical rotating equipment using electrical measurements – MCSA, etc

P Tavner
Durham University, UK



[216] Comparison of electrical and vibration analysis methods for mechanical fault monitoring in wind turbine drivetrains

P Granjon, P D Longhitano and A Singh
Grenoble University, France
[217] Experimental testing for pitting and durability in gears for condition monitoring

A Zippo and F Pellicano
University of Modena and Reggio Emilia, Italy

11.50-12.10[218] Title: TBC

L McFarlane
AVT Technology, UK

[233] Using 24/7 on-line partial discharge monitoring for high-voltage cables

R Ahmed and D Johnson
EA Technology, UK

[220] Piston leak detection in an axial piston pump using pressure and vibration signals

D Bensaad1, F Guillet2 and A Soualhi3
1Université de Lyon, France
2Université de Saint-Etienne, France
3LASPI, France

[221] Dynamic sensitivity of planet load sharing to errors in planetary gearboxes

A Masoumi, M Barbieri and F Pellicano
University of Modena and Reggio Emilia, Italy

12.10-12.30
[121] Wireless noise characteristics on gearboxes due to speed variations

R Raharjo, Y Sofyan and T M Arif
Bandung State Polytechnic, Indonesia


[237] Sustainable condition monitoring

C Johnstone
National Grid, UK
[224] Locating faulty planet gears using external vibration measurements

D Peng, W A Smith and R B Randall
University of New South Wales, Australia

[225] Efficiency experimental investigation and vibration analysis of the spur gears with laser texturing and tungsten carbide coatings

F S Samani1,2, A Zippo1, G Iarriccio1, M Barbieri1 and F Pellicano1
1University of Modena and Reggio Emilia, Italy
2University of Kerman, Iran

12.30-14.00
Lunch and Exhibition – Room: Banqueting Suite
12.30-13.00
BINDT Annual General MeetingRoom: Conference Theatre
Followed by Lunch and Exhibition – Room: Banqueting Suite
13.00-13.40
Benevolent Fund Annual General MeetingRoom: Conference Theatre
Followed by Lunch and Exhibition – Room: Banqueting Suite
13.30-14.00 ISCM Annual General MeetingRoom: Gallery 2 
13.30-15.00Acoustic Emission Training Workshop
T Bradshaw – Room: 4B

14.00-14.30 Plenary Lecture [226] Joint CM and NDT: A journey from NDT to CM
Dr T Holroyd, UK
Chair: C Bull, President of BINDT
Room: Conference Theatre
 
14.30-15.00 Plenary Keynote Lecture [227] Every passenger, every bag, every time with condition-based maintenance
G Conaghan and D Haines, UK
Chair: Professor L Gelman
Room: Gallery 2

15.00-16.30 Vibration Analysis Training Workshop
D Whittle – Room: 4B 
15.00-15.10 Ten-Minute Comfort Break and Exhibition – Room: Banqueting Suite 

Session 5A – Oil and debris monitoring



Chair: S Greenfield
Room: Gallery 2
Session 5B – Acoustic Emission

Chair: T Bradshaw
Room: Gallery 1
Session 5C – Advanced CM and diagnostics for smart systems


Chair: Dr E Juuso
Room: 1A
Session 5D – Advanced methodologies for diagnostics of rotating machinery

Chair: Dr R Klein
Room: 1B and 1C
15.10-15.30[228] Automated microscopical wear debris analysis

T Nowell
Intertek Farnborough, UK

[203] Lamb wave modelling and experimental study on acoustic emission using ANSYS

A A Ghouri, D Hutson and K Kirk
University of the West of Scotland, UK

[230] Generalised statistical process control (GSPC) in condition monitoring

E K Juuso
University of Oulu, Finland

[231] The value of physical models for diagnostics and prognostics research

R Klein
R K Diagnostics, Israel

15.30-15.50
[232] The calculation of wear volume for the hydrodynamic journal bearings during starting and stopping based on abrasive wear model

J Wu, Z Li and Y He
Beijing University of Aeronautics and Astronautics, China
[207] Fault diagnosis of low-speed bearing with acoustic emission technique

F M Al Shammari
Cranfield University, UK

[234] Optical measurements for flotation monitoring and diagnostics

M Paavola1, K Rahkamaa-Tolonen2 and M Okkonen2
1University of Oulu, Finland
2VTT Technical Research Centre of Finland

[235] Detection of a natural fault in ball bearings during endurance tests by optical fibre sensors

D Shimoni1, D Gazizulin1, H Alian2,R Klein3, M Tur4 and J Bortman1
1Ben-Gurion University of the Negev, Israel
2Israel Air Force
3R K Diagnostics, Israel
4Tel Aviv University, Israel

15.50-16.10
[236] Gas turbine lubricant varnish removal

A M Farooqi
BE Industrial & Manufacturing, Pakistan
[211] Title: TBC

T Bradshaw
[238] Big data for predictive maintenance of industrial machinery

A Koistinen
University of Oulu, Finland

[239] Crack detection in shafts via analysis of vibrations and orbital paths: a comparison

L Rogel1, R Peretz1, J Bortman1 and R Klein2
1Ben-Gurion University of the Negev, Israel
2Nuclear Research Center, Israel
3R K Diagnostics, Israel
16.10-16.40
Tea, Coffee and Exhibition – Room: Banqueting Suite
Diversity and inclusion networking event with tea and cake – stands 65 and 66

Session 6A – OCM lubrication and wear debris analysis


Chair: T Nowell
Room: Gallery 2
Session 6B – Ultrasound condition monitoring


Chair: T Murphy
Room: Gallery 1
Session 6C – Advanced CM and diagnostics


Chair: Dr E Juuso
Room: 1A
Session 6D – Advanced methodologies for diagnostics of rotating machinery

Chair: Dr R Klein
Room: 1B and 1C
16.40-17.00
[240] SEM/EDS classification of wear debris

T Nowell
Intertek Farnborough, UK

[241] Title: TBC

T Murphy

[242] Extracting periodically repeating shocks in a gearbox from simultaneously occurring random vibration

K Karioja1, S Lahdelma2, G Litak3 and B Ambrozkiewicz3
1University of Oulu, Finland
2Tirriäisentie 11, Finland
3Lublin University of Technology, Poland

[243] The effect of grease level and backlash on the AH-64 intermediate gearbox using a unique test-rig

N Silverman1, I Dadon1, J Bortman1,A Kushnirsky2, D Meron3 and R Klein4
1Ben-Gurion University of the Negev, Israel
2Israel Air Force
3Decagon Projects Ltd, Israel
4R K Diagnostics, Israel

17.00-17.20
[244] Re-engineering the data from multiple UOA sources to create a population-wide dataset in a marine context

D Shorten
OPTIMAIN Limited, UK

[245] ‘The music of the machine’: the use of ultrasound in the detection of faults in complex process machinery

P Price
Monition Ltd, UK


[246] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION


[247] Variable frequency drive (VFD) influence on induction motor fault diagnosis

S Ganeriwala
SpectraQuest Inc, USA

17.20-17.40
[248] Fundamentals of oil debris detection and reporting

S Greenfield
Eaton Aerospace, UK

[249] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[250] The shift/threat/opportunity from algorithm based condition monitoring tools and techniques

D Shorten
OPTIMAIN Ltd, UK

[251] Cepstrum editing for enhancing
bearing fault diagnosis of a gearbox


S Ganeriwala
SpectraQuest Inc, USA

17.40-18.10Plenary Keynote Lecture [252] Hybrid models for diagnosis and prognosis: a digital twin approach
Professor D Galar, Sweden
Chair: Professor L Gelman
Room: Gallery 2

18.15-19.30
CM and NDT Awards Ceremony with welcome drinkRoom: Conference Theatre
19.30-20.00
Pre-dinner drinksRoom: Banqueting Suite
Conference dinnerRoom: Banqueting Suite

To view the programme for Monday 10 September 2018, click here and to view the programme for Wednesday 12 September 2018, click here.

For further information contact: Conferences and Events Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Fax: +44 (0)1604 438301; Email: cm_mfpt@bindt.org; Web: www.cm-mfpt.org