Application of Pattern Recognition to Failure Analysis and Diagnosis

In this chapter, we will be dealing with systems, all initially at the same design, manufacturing, quality control and operating standards. For each set of operating conditions, technical specifications describe the expected performance and characteristics of these systems, all of which cannot, in general, be quantified. After having introduced a number of basic concepts in failure analysis and diagnosis, the relation to pattern recognition will be explained.

[1]  W. Hankley,et al.  A Pattern Recognition Technique for System Error Analysis , 1971 .

[2]  Simon Braun,et al.  Signal analysis for rotating machinery vibrations , 1975, Pattern Recognit..

[3]  W M VANCleemput.  Topological Circuit Layout. , 1976 .

[4]  J. Wolfowitz,et al.  Optimum Character of the Sequential Probability Ratio Test , 1948 .

[5]  Satish Mukund Thatte.  Fault Diagnosis of Semiconductor Random Access Memories. , 1977 .

[6]  M. Hill.  Correspondence Analysis: A Neglected Multivariate Method , 1974 .

[7]  J. W. Lathrop,et al.  Defect analysis and yield degradation of integrated circuits , 1974 .

[8]  King-Sun Fu,et al.  Digital pattern recognition , 1976, Communication and cybernetics.

[9]  C. K. Yuen,et al.  Theory and Application of Digital Signal Processing , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  Richard C. T. Lee,et al.  Application of game tree searching techniques to sequential pattern recognition , 1971, CACM.

[11]  John G. Skinner.  The Use Of An Automatic Mask Inspection System (AMIS) In Photomask Fabrication , 1977, Other Conferences.

[12]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[13]  U. Grenander,et al.  Statistical analysis of stationary time series , 1957 .

[14]  Chi Hau Chen,et al.  Pattern recognition and signal processing , 1978 .

[15]  F. N. David,et al.  Decision Making and Medical Care. , 1977 .

[16]  R. Bellman.  Dynamic programming, pattern recognition and location of faults in complex systems , 1966 .

[17]  Richard Saeks,et al.  Rational fault analysis , 1977 .

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

[19]  L. F. Pau,et al.  An adaptive signal classification procedure. Application to aircraft engine condition monitoring , 1977, Pattern Recognit..

[20]  Keinosuke Fukunaga,et al.  Pattern Recognition Signal Processing for Mechanical Diagnostics Signature Analysis , 1971, IEEE Transactions on Computers.

[21]  B. R. Wilkins,et al.  The analysis of vehicle sounds for recognition , 1972, Pattern Recognit..

[22]  Martin Cohn,et al.  Design of Adaptive Procedures for Fault Detection and Isolation , 1971 .

[23]  N. Singpurwalla,et al.  Methods for Statistical Analysis of Reliability and Life Data. , 1975 .

[24]  A. Gray,et al.  On autocorrelation equations as applied to speech analysis , 1973 .

[25]  Rafael C. González,et al.  Machine Recognition of Abnormal Behavior in Nuclear Reactors , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[26]  L. Pau.  Finite Learning Sample Size Problems in Pattern Recognition , 1978 .

[27]  Theodosios Pavlidis,et al.  Signal classification through quasi-singular detection with applications in mechanical fault diagnosis , 1972, IEEE Trans. Inf. Theory.

[28]  A. A. Burrows,et al.  Aircraft fault isolation based on pattern of cockpit indications: a human factors approach , 1972 .

[29]  Victor S. Levadi.  Automated Learning Applied to Fault Diagnosis , 1967, IEEE Transactions on Aerospace and Electronic Systems.

[30]  V. Joksimovic.  STATISTICAL FAULT ANALYSIS METHOD APPLIED TO ADVANCED GAS-COOLED REACTORS. , 1969 .

[31]  John L. Frarey.  Mechanical Basis for Pattern Analysis , 1970 .

[32]  R. C. Kryter,et al.  Results in the Application of Pattern Recognition Methods to Nuclear Reactor Core Component Surveillance , 1974 .

[33]  L. F. Pau.  Recognition of Patterns Using the Frequencies of Occurrence of Binary Words , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[34]  Bernard Friedland,et al.  Maximum-likelihood estimation of a process with random transitions (failures) , 1979 .

[35]  Wesley W. Chu,et al.  Adaptive Diagnosis of Faulty Systems , 1968, Oper. Res..

[36]  H. L. Engel,et al.  Pattern Recognition Techniques Applied to Diagnostics , 1970 .

[37]  Casimir A. Kulikowski,et al.  Pattern Recognition Approach to Medical Diagnosis , 1970, IEEE Trans. Syst. Sci. Cybern..

[38]  K. R. Piety,et al.  On-line reactor surveillance algorithm based on multivariate analysis of noise , 1975 .

[39]  E. I. Muehldorf.  Fault clustering: modeling and observation on experimental LSI chips , 1975 .

[40]  L. F. Pau.  Diagnosis of Equipment Failures by Pattern Recognition , 1974 .

[41]  King-Sun Fu,et al.  On Suboptimal Sequential Pattern Recognition , 1968, IEEE Transactions on Computers.

[42]  Marvin Zelen,et al.  Mathematical Theory of Reliability , 1965 .

[43]  George N. Saridis,et al.  A Pattern Recognition Approach to the Classification of Nonlinear Systems , 1974, IEEE Trans. Syst. Man Cybern..

[44]  L. F. Pau,et al.  Applications of pattern recognition to the diagnosis of equipment failures , 1974, Pattern Recognit..

[45]  Gerald M. Henriksen.  Reticles By Automatic Pattern Generation , 1977, Other Conferences.

[46]  Alan J. Gross.  An Approach to the Minimization of Misclassification in the Repair of Equipment , 1970 .