Fusion of maintenance and control data: A need for the process

A process control system deals with disperse information sources mostly related with operation and maintenance issues. For integration purposes, a data collection and distribution system based on the concept of cloud computing is proposed to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant inc1uding, for example, the process control functional areas, the maintenance functional areas and the process performance monitoring functional areas. This data and information is manipulated in a coordinated manner by the cloud using XML for data exchange, and is redistributed to other applications where is used to perform overall better or more optimal control, maintenance and business activities. From maintenance point of view, the benefit is that information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of an asset. The end user, i.e. operators and maintainers are also considered. A user interface becomes necessary in order to enable users to access and manipulate the data and optimize plant operation. Furthermore, applications, such as work order generation applications may automatically generate work orders, parts or supplies orders, etc. based on events occurring within the plant due to this integration of data and creation of new knowledge as a consequence of such process.

[1]  Chunsheng Yang,et al.  Learning to predict train wheel failures , 2005, KDD '05.

[2]  CHRIS DAVIES,et al.  The use of Information Systems in Fault Diagnosis , 2000 .

[3]  U. Kunze Condition telemonitoring and diagnosis of power plants using web technology , 2003 .

[4]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[5]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[6]  Pascal Vasseur,et al.  Introduction to Multisensor Data Fusion , 2005, The Industrial Information Technology Handbook.

[7]  Belur V. Dasarathy Information fusion as a tool in condition monitoring , 2003, Inf. Fusion.

[8]  S.D.J. McArthur,et al.  Issues in integrating existing multi-agent systems for power engineering applications , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[9]  Yu Ren,et al.  A multi-agent-based, remote maintenance support and management system , 2004 .

[10]  I. Hausladen,et al.  E-maintenance platform as a basis for business process integration , 2004, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004.

[11]  Felix Naumann,et al.  Data fusion , 2009, CSUR.

[12]  Rolf Isermann,et al.  Fault-Diagnosis Systems , 2005 .

[13]  Peter Mell,et al.  "The NIST Definition of Cloud Computing," Version 15 , 2009 .

[14]  Rolf Isermann,et al.  Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems , 2011 .

[15]  Bo-Suk Yang,et al.  Development of an e-maintenance system integrating advanced techniques , 2006, Comput. Ind..

[16]  Jean-Pierre Thomesse,et al.  PROTEUS - a European initiative for e-maintenance platform development , 2003, EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696).

[17]  Yongqian Liu,et al.  MAS-based model of intelligent control-maintenance-management system (ICMMS) and its application , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.

[18]  Martin Wollschlaeger,et al.  A Web-based maintenance portal based on an XML content model , 2003, IEEE International Conference on Industrial Technology, 2003.

[19]  Belur V. Dasarathy,et al.  Information Fusion - what, where, why, when, and how? Editorial , 2001, Inf. Fusion.

[20]  Fan-Tien Cheng,et al.  Development of an e-Diagnostics/Maintenance framework for semiconductor factories with security considerations , 2003, Adv. Eng. Informatics.