Abstract and full paper submission

13-16 June 2017, ILEC Conference Centre, London, UK  



To download the call for papers leaflet, click here.

The deadline for the submission for abstracts (of no more than 200 words) is 27 January 2017,
with the deadline for submitting full-length papers being 24 March 2017.

Abstracts and full papers should be submitted via the website: http://mc.manuscriptcentral.com/wccm2017

To submit an abstract, enter your Author Centre and then click on 'Click here to submit a new manuscript'. Follow the instructions to upload your abstract.

To submit your full paper, enter your Author Centre and then click on 'Manuscripts with Decisions'. You should see the title of your accepted abstract and next to it an option to 'Click here to submit a full paper'. Click on this link and follow the instructions to upload your full paper.

Copyright form, terms and conditions are available at the above website under 'Instructions and Forms'.

We encourage papers from both academia and industry on the following topics:

Instrumentation and ITC for CM
Design and manufacturing for CM and maintenance
Wireless techniques and systems for CM
Design and life-cycle integrity
Architecture of CM systems
Design for optimal maintainability
ITC for CM
Design improvement via CM
CM systems
Simulation models and software for optimal asset design and manufacturing
Hardware and software platforms for CM systems
Root cause analysis of faults/failures
High performance computing for CM systems
HAZOP
Robotics for CM
Fault tree analysis
Off-board and off-board CM systems
Root cause analysis methods: Ishikawa Diagram, 5 Whys, Eight Discipline Problem Solving, Scatter Diagrams, Is-Is not, etc
OSA-CBM  for CM
Human and latent root causes of faults/failures
Integrated CM technologies and systems
Root cause analysis: case studies
Communication for CM
Sensors and actuators
Internet of things and services for CM
Standard sensors and actuators
Data storage and backup for CM
New and advanced intelligent sensors and actuators
Certification, education and training for CM
Embedded sensors and embedded calculations in sensors and actuators
Engineering standards for CM
Sensor fusion
CM education, including CPD
Energy harvesting
CM training
Signal and image processing, pattern recognition, finite element modelling and simulation for CM
CM certification
Decision support for CM
Maintenance
Data mining and fusion
Maintenance planning, scheduling and control
Optimisation in CM
Repair, replacement and overhaul
Linear, non-linear, time, frequency and time-frequency signal processing techniques for CM
Management of enterprise shutdown and overhauls
Signal processing techniques for machinery non-stationary conditions
Life-cycle cost benefit analysis for maintenance and CM
On-line and off-line adaptation of CM technologies
Failure effects and consequences
Feature extraction and pattern recognition for CM
Through-life support
Linear and non-linear finite element modelling for CM
Risk assessment and management
Linear and non-linear multi-freedom dynamical analysis of complex systems for CM
Risk based maintenance
Modal analysis for CM
Reliability centered maintenance and reliability improvement
Simulation of linear and non-linear complex systems for CM
Classical and advanced software for maintenance: CMMS, RCM++, ERP, etc
Computational methods for CM
Human errors in maintenance
Probabilistic and statistical methods for CM
Logistics and spare part management
Classical and novel image processing techniques for CM
Maintenance: case studies
CM methods and technologies
Asset management
Equipment troubleshooting
Asset management systems
Methods for fault severity estimation
Asset management via CM
Future directions for CM
Optimal asset replacement
All CM methods and technologies:
Asset data bases
Vibration analysis
Improvement of asset safety via CM
AE
Structural health monitoring
IRT
NDT methods and technologies
Condition monitoring via machinery performance parameters
All NDT methods and technologies:
Strain/Stress analysis
Ultrasound
CM: case studies
IRT
Nano-Technologies for CM
AE
Materials
Radiography
Materials manufacturing
Optical NDT
Materials characterisation
Fusion of CM/NDT methods and technologies

NDT: case studies

Damage, fault and failure

Failure assessment methods

Physics of failure, fault/failure modes

Fatigue and fracture

Prognostics for CM

Model driven prognostics

Data driven prognostics

Fatigue and fracture prediction

Models for fault propagation

Condition indicators for prognostics

Prognostics: case studies


Other relevant topics are welcome. To download a copy of the subject breakdown, click here.

Papers that are submitted will be reviewed by an extensive programme panel, chaired by Professor Len Gelman, of Cranfield University (UK), and Professor Tony Hope, of Southampton Solent University. The accepted papers will be published in congress proceedings that will be available at the congress. The congress proceedings will be indexed by Web of Science, Scopus and other appropriate citation databases. The congress requires that at least one of the authors of each accepted paper must register for the congress, otherwise the paper will not be included in the congress proceedings.

The accepted papers will be considered for publication in the BINDT international journals Insight and the International Journal of Condition Monitoring. Papers related to ‘case studies’ will be considered for publication in the BINDT international newsletter Condition Monitor. With English being the congress language, the contributions must be submitted and presented in English. Translation into other languages will not be provided.




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: wccm@bindt.org