Local Sensor Validation

Current approaches to plant fault detection require an overall process model. This paper argues that a hierarchical scheme is more efficient in which the lowest level concentrates on validating the signals transmitted by individual sensors. Signals are described in terms of standard time-series models. A fault is defined by the signal's deviation from its expected behaviour and various signal processing techniques are described which detect these aberrations.

[1]  A. Willsky,et al.  A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems , 1976 .

[2]  Rolf Isermann,et al.  Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[3]  B. Friedlander.  A modified pre-filter for some recursive parameter estimation algorithms , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[4]  Michèle Basseville,et al.  Detecting changes in signals and systems - A survey , 1988, Autom..

[5]  R. Clark.  A Simplified Instrument Failure Detection Scheme , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[6]  B. Upadhyaya,et al.  Stability Monitoring of Boiling Water Reactors by Time Series Analysis of Neutron Noise , 1981 .

[7]  J. Favennec.  Smart sensors in industry , 1987 .

[8]  V. Walton,et al.  Detecting Instrument Malfunctions in Control Systems , 1975, IEEE Transactions on Aerospace and Electronic Systems.

[9]  James E. Van Ness,et al.  Eigenvalue specification for system matrices , 1973 .

[10]  Alan S. Willsky,et al.  F-8 DFBW sensor failure identification using analytic redundancy , 1977 .

[11]  Zdenek Vostrý.  New algorithm for polynomial spectral factorization with quadratic convergence. II , 1975, Kybernetika.

[12]  A. Willsky,et al.  Analytical redundancy and the design of robust failure detection systems , 1984 .

[13]  R. K. Mehra,et al.  Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems , 1971 .

[14]  John J. Deyst,et al.  Fault Detection and Isolation in a Nuclear Reactor , 1983 .

[15]  J. Gertler,et al.  An instability indicator for expert control , 1986, IEEE Control Systems Magazine.

[16]  R. Clark,et al.  Sensor Fault Detection in a System with Random Disturbances , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[17]  M. Massoumnia.  A geometric approach to the synthesis of failure detection filters , 1986 .

[18]  Belle R. Upadhyaya,et al.  Sensor fault analysis using decision theory and data-driven modeling of pressurized water reactor subsystems , 1984 .

[19]  Alan S. Willsky,et al.  A survey of design methods for failure detection in dynamic systems , 1976, Autom..

[20]  Shahriar Negahdaripour,et al.  An Innovation-Based Methodology for HVAC System Fault Detection , 1985 .

[21]  Asok Ray,et al.  A Signal Validation Methodology for Nuclear Power Plants , 1982, 1982 American Control Conference.

[22]  Doug de Sá.  The Evolution of the Intelligent Measurement , 1988 .