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Diagnosis

By R. J. Patton, P. M. Frank, R. N. Clark (auth.), Ron J. Patton BEng, MEng, PhD, Paul M. Frank, Robert N. Clark PhD (eds.)

Since the time our first e-book Fault analysis in Dynamic structures: The­ ory and purposes was once released in 1989 by means of Prentice corridor, there was a surge in curiosity in study and functions into trustworthy tools for diag­ nosing faults in advanced structures. the 1st publication bought greater than 1,200 copies and has develop into the most textual content in fault prognosis for dynamic structures. This publication will persist with in this very good list via concentrating on many of the advances during this topic, via introducing new thoughts in examine and new program themes. The paintings can't offer an exhaustive dialogue of the entire fresh study in fault prognosis for dynamic structures, yet however serves to pattern a number of the significant concerns. it's been beneficial once more to have the co-operation of specialists during the global operating in undefined, gov­ emment institutions and educational associations in writing the person chapters. occasionally dynamical platforms have linked numerical versions to be had in country area or in frequency area layout. whilst version infor­ mation is out there, the quantitative model-based method of fault analysis could be taken, utilizing the mathematical version to generate analytically redun­ dant possible choices to the measured signs. whilst this method is used, it turns into vital to aim to appreciate the constraints of the mathematical types i. e. , the level to which version parameter diversifications ensue and the influence of fixing the platforms aspect of operation.

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Frank and R. N. Clark systems for aircraft is described. The work focuses on the combined problems of detection and isolation of faulty inertial navigation sensors with the system reconfiguration, subsequent to a fault. The chapter discusses the development of fault-tolerant schemes at both the sensor and system levels. At the sensor level the authors describe the use of the GLRT for detecting and isolating faults in gyros and accelerometers, based upon a redundant hardware structure. , with no faults).

Kaiman filter, excited by all outputs: The residuals (or innovation) e(t) changes the character of the zero mean white noise with known covariance if a fault appears. This is detected by a hypothesis test (Mehra & Peschon, 1971; Willsky, 1976). - Bank of observers, excited by all outputs: Several state observers are designed for a definite fault signal and detected by a hypothesis test (Willsky, 1976). - Bank of observers, excited by single outputs: Several observers for single sensor outputs are used.

It is shown that the malfunctioning subsystem can be detected and isolated by using a combination of the x2 test and the GLRT. The failed subsystem is then switched off from the master filter to give a most accurate estimate. The results are supplied to an SINSJGPS/Doppler integrated navigation system for information display. Chapter 16 describes a novel hierarchical structure for on-line process fault diagnosis based on qualitative modelling. This hierarchical structure includes a lower level diagnosis system, which detects and diagnoses faults in a process based on deep qualitative models, and an upper level diagnosis to give the required result.

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