由国际状态监测学会（ISCM）和新加坡无损检测学会（NDTSS）主办的第二届世界状态监测大会（WCCM 2019）将于2019年12月2日-5日在新加坡滨海湾金沙会展中心举行。大会将与新加坡国际无损检测大会暨展览会（SINCE2019）同期举行。
世界状态监测大会（WCCM）是状态监测领域最大型的国际会议，本届会议的主题是状态监测的数字化，设立了状态监测方法和技术、仪器设备、信号处理、认证教育和培训、无损检测方法和技术、结构健康监测、损伤、故障和失效等多个专题，旨在推动状态监测领域新技术的交流与发展。
中国无损检测学会和中国特种设备检测研究院将共同承办2021年在北京召开的第三届世界状态监测大会（WCCM2021），由沈功田主任委员担任大会主席。
欢迎广大国内专家、学者关注并积极参加世界状态监测大会，促进我国状态监测技术不断进步。
会议详细信息请浏览会议网站wccm2019.org。
Following the successful inaugural World Congress on Condition Monitoring (WCCM) 2017 in London, the International Society for Condition Monitoring (ISCM) and the Non-Destructive Testing Society Singapore (NDTSS) are proud to invite you to the 2nd World Congress at the Marina Bay Sands in Singapore from 2nd to 5th December 2019. The congress will be held in conjunction with the Singapore International NDT Conference and Exhibition (SINCE2019). This will create one of the largest combined events within the region, which will see communities and societies from both condition monitoring and NDT converge at a single venue to exchange ideas and network at an international level. As Singapore is an industrial hub, the event will also include participation from many major sectors including aerospace, civil, oil and gas, marine, railway, and manufacturing industries.
The theme of the event will focus on digitalisation with the advent of the fourth industrial revolution (Industry 4.0) and the Internet-Of-Things (IOT), which are expected to give significant improvements in productivity and asset value. The digital transformation also triggers opportunities and technologies in new and growing fields including data analytics, artificial intelligence, automation and robotics. Advancements in digital technologies for the industry like augmented reality (AR) and virtual reality (VR) will also see valuable changes and developments in education and training delivery for qualification and certification.
The congress cordially invites papers from academics, practitioners, and innovators who have views, engagements and breakthroughs to share in the area of digitalisation for condition monitoring. Submissions from all other relevant areas of condition monitoring including but not limited to the following are also welcomed:
CM Methods and Technologies
Equipment trouble shooting
Methods for fault severity estimation
Future directions for CM
CM methods and technologies
Condition monitoring via machinery performance parameters
Stress/Strain analysis
CM: Case Studies
Instrumentation and ITC for CM
Wireless techniques and systems for CM
Architecture of CM systems
ITC for CM
CM systems
Hardware and software platforms for CM systems
High performance computing for CM systems
Robotics for CM
Off board and off board CM systems
OSA-CBM for CM
Integrated condition monitoring technologies and systems
Communication for CM
Internet of things and services for CM
Data storage and backup for CM
Certification, Education and Training for CM
Engineering standards for CM
CM education including CPD
CM training
CM certification
Asset Management
Asset management systems
Asset management via CM
Optimal asset replacement
Asset databases
Improvement of asset safety via CM
NDT Methods and Technologies
NDT methods and technologies
Fusion of CM/NDT methods and technologies
NDT: Case Studies
Signal and Image Processing, Pattern Recognition, Finite Element Modelling and Simulation for CM
Decision support for CM
Data mining and fusion
Optimisation in CM
Linear, non-linear, time, frequency and time-frequency signal processing techniques for CM
Signal processing techniques for non-stationary conditions
On-line and off-line adaptations of CM technologies
Feature extraction and pattern recognition for CM
Linear and non-linear finite element modelling for CM
Computational Fluid Dynamics
Linear and non-linear multi-freedom dynamical analysis of complex systems for CM
Modal analysis for CM
Simulation of linear and non-linear complex systems for CM
Computational methods for CM
Probabilistic and statistical methods for CM
Sensors and Actuators
Standard sensors and actuators
New and advanced intelligent sensors and actuators
Embedded sensors and embedded calculations in sensors and actuators
Sensor fusion
Energy harvesting
Root Cause Analysis of Faults/Failures
Fault free analysis
Root cause analysis: Ishikawa Diagram, 5 Whys, Eight Discipline Problem Solving, Scatter Diagrams, Is-Is not, etc.
Human and latent root causes of faults/failures
Root Cause Analysis: Case Studies
Structural Health Monitoring Maintenance
Maintenance planning, scheduling and control
Repair, replacement and overhaul
Management of enterprise shutdown and overhauls
Life-cycle cost benefit analysis for maintenance and CM
Failure effects and consequences
Through-life support
Risk assessment and management
Risk-based maintenance
Reliability centred maintenance and reliability improvement
Classical and advanced software for maintenance: CMMS, RCM++, ERP, etc.
Human errors in maintenance
Maintenance: Case Studies
Prognostics for CM
Model driven prognostics
Data driven prognostics
Fatigue and fracture prognostics
Models for fault propagation
Condition indicators for prognostics
Prognostics: Case Studies
Materials
Materials manufacturing
Materials characterisation
Damage, Fault and Failure
Failure assessment methods
Physics of failure, fault/failure modes
Fatigue and fracture
Design and Manufacturing for CM and Maintenance
Materials manufacturing
Design and life-cycle integrity
Design for optimal maintainability
Design improvement via CM
Simulation models and software for optimal asset design and manufacturing
Nano-Technologies for CM
The scientific programme will feature keynote presentations from an invited panel of internationally-renowned experts and thought leaders representing the condition monitoring world geographically and technologically.
