There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.

Robust Model-Based Fault Diagnosis for Dynamic Systems (The International Series on Asian Studies in Computer and Information Science, 3)

Patton, R.J.

Jie, Chen

Reference

Springer

This work is an in-depth study of the change point problem from a general point of view and a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. The exposition is clear and systematic, with a great deal of introductory material included. Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature. Other models covered in detail are the multivariate normal, univariate normal, regression, and discrete models. Extensive examples throughout the text emphasize key concepts and different methodologies are used, namely the likelihood ratio criterion, and the Bayesian and information criterion approaches. A comprehensive bibliography and two indices complete the study.

Parametric Statistical Change Point Analysis

Business & Money

Education & Reference

Birkhäuser Boston

There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.

Robust Model-Based Fault Diagnosis for Dynamic Systems (The International Series on Asian Studies in Computer and Information Science)

A salient trend in studies of China and transnational civil society - two newly influential global forces - is the converging of their paths. Thousands of international NGOs and foundations have come to operate in China in the 'low politics' of environment, development and epidemics, while democracy activists campaign on China from outside. This path-breaking book investigates transnational groups' evolving relations with China and its NGO sector, and compares China with transnational stories of party states in Eastern Europe and Taiwan. 
This book discusses the penetration, growth and operation of transnational civil society (TCS) in China. It explores TCS' impacts on the incremental development of China's political pluralism, mainly through exploring the influences of the leading TCS actors on the country's bottom-up and self-governing activist NGOs that have sprung up spontaneously, in terms of capacities, strategies, leadership and political outlook, as a result of complex interactions between the two sectors. 
Transnational Civil Society in China opens up a new frontier in discussing the society, politics and international relations of China that will appeal to scholars and researchers studying China and transnational/global civil society.

Transnational Civil Society in China: Intrusion and Impact

Politics & Social Sciences

Politics & Government

Edward Elgar Publishing

Shared Memories of The US and China(English Version)

BU PING

Foreign Languages Press

Beer and perch(Chinese Edition)

Shandong Pictorial Publishing House

City things: a similar life and happiness(Chinese Edition)

Chengdu Times Press Pub. Date :2006-08-01

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