On-line early fault detection and diagnosis of municipal solid waste incinerators
- College of Information Science and Technology, Beijing Institute of Technology, Beijing 10086 (China)
- College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029 (China)
A fault detection and diagnosis framework is proposed in this paper for early fault detection and diagnosis (FDD) of municipal solid waste incinerators (MSWIs) in order to improve the safety and continuity of production. In this framework, principal component analysis (PCA), one of the multivariate statistical technologies, is used for detecting abnormal events, while rule-based reasoning performs the fault diagnosis and consequence prediction, and also generates recommendations for fault mitigation once an abnormal event is detected. A software package, SWIFT, is developed based on the proposed framework, and has been applied in an actual industrial MSWI. The application shows that automated real-time abnormal situation management (ASM) of the MSWI can be achieved by using SWIFT, resulting in an industrially acceptable low rate of wrong diagnosis, which has resulted in improved process continuity and environmental performance of the MSWI.
- OSTI ID:
- 21153957
- Journal Information:
- Waste Management, Vol. 28, Issue 11; Other Information: DOI: 10.1016/j.wasman.2007.11.014; PII: S0956-053X(07)00426-6; Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); ISSN 0956-053X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Municipal Solid Waste Incineration Ash-Incorporated Concrete: One Step towards Environmental Justice
A performance evaluation framework for building fault detection and diagnosis algorithms