MODERN MAINTENANCE SYSTEM BASED ON WEB AND MOBILE TECHNOLOGIES

The paper illustrates the development of an e-monitoring and e-maintenance architecture and system based on web and mobile device, i.e. PDA, technologies to access and report maintenance tasks. Rarity of experts led to the application of artificial intelligence and later, distributed artificial intelligence for condition monitoring and diagnosis of machine condition. Recently, web technology and wireless communication emerged as an alternative to provide maintenance with a powerful decision support tool which makes it possible to have all the necessary information wherever it is needed for maintenance analysis and its various tasks. The paper goes through the characteristics of using web and mobile devices for condition monitoring and maintenance. It illustrates the ICT used to communicate among the different layers in the architecture/system and its various client machines. The practical examples are related to the maintenance of rotating machinery, more specifically, diagnosing rolling element bearing faults.

[1]  Om Prakash,et al.  Information and communication technologies in condition monitoring and maintenance , 2006 .

[2]  M. G. Thurston An open standard for Web-based condition-based maintenance systems , 2001, 2001 IEEE Autotestcon Proceedings. IEEE Systems Readiness Technology Conference. (Cat. No.01CH37237).

[3]  J. Fitch,et al.  A multi-agent based intelligent monitoring system for power transformers in distributed substations , 2002, Proceedings. International Conference on Power System Technology.

[4]  Ken Maynard,et al.  Application of sensor fusion and signal classification techniques in a distributed machinery condition monitoring system , 2000, SPIE Defense + Commercial Sensing.

[5]  Ming Rao,et al.  Architecture of integrated distributed intelligent multimedia system for on-line real-time process monitoring , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[6]  Kevin Warwick,et al.  Artificial intelligence techniques in power systems , 1997 .

[7]  J. Roy,et al.  Understanding Web services , 2001 .

[8]  Ming Rao,et al.  Integrated distributed intelligent system architecture for incidents monitoring and diagnosis , 1998 .

[9]  Kesheng Wang,et al.  Intelligent Condition Monitoring and Diagnosis Systems: A Computational Intelligence Approach , 2003 .

[10]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[11]  Philip M. Wolfe,et al.  Overview of emerging database architectures , 1997 .

[12]  L. Nemes,et al.  Information control problems in manufacturing , 1988 .