Elsevier

Automatica

Volume 28, Issue 2, March 1992, Pages 375-381
Automatica

Brief paper
A robust failure diagnostic system for thermofluid processes

https://doi.org/10.1016/0005-1098(92)90122-VGet rights and content

Abstract

Recent advances in microprocessor technology have enabled the application of process diagnostics to a variety of systems for improved performance and reliability. Failure detection and isolation strategies monitor a system's operation for degradations, and if detected, classify the failure source. In this paper, an on-board diagnostic system will be presented for small-scale thermofluid processes. A model-free limit and trend checking scheme, and a model-based innovations failure detection strategy monitor the system in parallel to detect anomalous behaviour. An experimental-based multiple hypothesis failure isolation strategy statistically classifies the degradations using an a priori failure database. To demonstrate the diagnostic system's performance, a series of failures have been experimentally induced, detected and classified in a residential refrigerator.

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The original version of this paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor Y. Haimes under the direction of Editor A. P. Sage.

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