海底小纵队

扫一扫关注微信二维码 郑爽
 
国际会议和资(zi)讯您的位置是:移动成立芯片公司 > 国际会议和资讯
第二届世界状态监测大会(WCCM 2019)通知
发(fa)布时间:2018-03-01


       由国际状(zhuang)态监测(ce)学(xue)会(hui)(ISCM)和新(xin)加(jia)坡(po)无损检测(ce)学(xue)会(hui)(NDTSS)主办的第二届世界状(zhuang)态监测(ce)大(da)会(hui)(WCCM 2019)将(jiang)于2019年12月(yue)2日-5日在新(xin)加(jia)坡(po)滨海湾金沙会(hui)展(zhan)中(zhong)心举(ju)行。大(da)会(hui)将(jiang)与新(xin)加(jia)坡(po)国际无损检测(ce)大(da)会(hui)暨(ji)展(zhan)览会(hui)(SINCE2019)同期(qi)举(ju)行。


       世界状态(tai)(tai)监(jian)(jian)测大会(hui)(hui)(WCCM)是(shi)状态(tai)(tai)监(jian)(jian)测领域最大型的(de)国际会(hui)(hui)议,本届会(hui)(hui)议的(de)主题是(shi)状态(tai)(tai)监(jian)(jian)测的(de)数字化(hua),设立(li)了状态(tai)(tai)监(jian)(jian)测方(fang)(fang)法和(he)技术、仪器设备(bei)、信号处(chu)理(li)、认证教育和(he)培(pei)训(xun)、无损检测方(fang)(fang)法和(he)技术、结构健康监(jian)(jian)测、损伤、故障和(he)失效等多个专题,旨在推动(dong)状态(tai)(tai)监(jian)(jian)测领域新技术的(de)交流(liu)与发(fa)展。


       中国无损检(jian)测(ce)学(xue)会和中国特种(zhong)设备检(jian)测(ce)研究院将共同(tong)承办2021年(nian)在北京召(zhao)开(kai)的第三(san)届世(shi)界状(zhuang)态监测(ce)大会(WCCM2021),由沈功田主(zhu)任(ren)委员担任(ren)大会主(zhu)席。


       欢迎广大国内专家、学者关(guan)注并积(ji)极参加世界状态(tai)监测大会,促进(jin)我(wo)国状态(tai)监测技术不断进(jin)步。


       会议详细信息请浏览会议网站。



WELCOME TO WCCM 2019


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:


Provisional Session Titles and Extended Topic List


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.


版权所有 © 中国机械工程学会无损检测分会
xml地图 | sitemap地图
欢乐斗地主
分享到:QQ空间新浪微博腾讯微博人人网微信
传世之爱 易烊千玺 王者荣耀 做家务的男人2 镇魂街 武炼巅峰 海贼王 双世宠妃3非诚勿扰 西甲直播 赘婿 诸葛亮 奔跑吧兄弟 唐人街探案3大决战 凯迪拉克 猫和老鼠 篮网 Upperground 300英雄 理想照耀中国 造梦西游3 坦克世界 nba选秀 欧洲杯决赛 双世宠妃3非诚勿扰 遮天 速度与激情9百炼成钢 革命者 天天向上 海贼王 魔兽世界 丰田 一念永恒 驻华美军暴行档案 铠甲勇士 生化危机2重制版 美好的日子 极限挑战宝藏行 帝霸 越战越勇 哥斯拉大战金刚 阴阳师奔驰 穿越火线姐妹俱乐部 王牌对王牌 中超直播 天龙八部 跑得快 杨幂 觉醒年代 北京天空秒变油画大卡车投河堵决口 特斯拉 李敏镐95岁女王自驾看展 热爱就一起 叛逆者 五十公里桃花坞 old town road 孙权 | 下一页
Baidu
sogou
百度 搜狗 360