Auxiliary signal design in fault detection and diagnosis
type: Item
instance of: scholarly article
title: Auxiliary signal design in fault detection and diagnosis
zbMATH Open document ID: 0679.68207
published in: Lecture Notes in Control and Information Sciences
publication date: 1993-01-23T00:00:00Z
review text: This book with rapid fault-detection in an industrial process, detecting something like the Three-Mile accident. It is concerned with the best statistical tests, based on a list of types of faults and various interval measurements, to determine whether a particular fault is actually occurring. Although other methods are discussed, the method used in the book is the sequential probability ratio test (SPRT) of Wald which has an optimality property of requiring on the average a minimum number of measurements. The author discusses standard topics like robustness, generalizes the theory to auxiliary signals, which are controls by which the quantity measured can be adjusted and to more than 2 hypotheses. He works out in detail an example for a caustic soda plant and gives other examples.
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 62N99
Mathematics Subject Classification ID: 68-02
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 62L10
Mathematics Subject Classification ID: 94A99
zbMATH DE Number: 44013
zbMATH Keywords: auxiliary signal
zbMATH Keywords: fault detection
zbMATH Keywords: sequential probability ratio test
zbMATH Keywords: optimality property
zbMATH Keywords: robustness
author: Xuejun Zhang
reviewed by: Ki Hang Kim
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 44013