The Mahalanobis-Taguchi SystemThe MAHALANOBIS-TAGUCHI SYSTEM (MTS) is a groundbreaking new philosophy that has been reshaping Japanese industry since its inception. Developed by award-winning quality engineering expert Dr. Genichi Taguchi - acknowledged as one of the most innovative thinkers in the field and based on the work of Indian Statistics giant Dr. P. C. Mahalanobis, the system provides a powerful process for recognizing patterns and forecasting results. MTS goes beyond theory - it shows you exactly how international business giants have successfully put the system to work for them. The book includes 15 fascinating case studies that provide an inside look at how organizations such as Fuji, Nissan, Sharp, Xerox and others have utilized the system effectively. MTS can be applied in patient monitoring, medical diagnosis, software, manufacturing, weather forecasting, automotive collision prevention system, and fire detection. Doctors, researchers, engineers, insurance experts, financial analysts, programmers, and anyone else with an interest in pattern recognition and forecasting will find this book to a blueprint to improved decision-making. "Japan's Taguchi is America's new quality hero." "Subir Chowdhury: Voices of quality for the 21st Century." "There is no question that the Mahalanobis-Taguchi System is a profoundly important giant step in improving the productivity of evaluating and improving diagnostic and other systems based on pattern recognition. Potential application of this method abound in many industries." JAPAN'S POWERFUL, NEW PATTERN-RECOGNITIONMETHODIS NOW AVAILABLE TO AMERICAN BUSINESS AND INDUSTRY And here is the FIRST book on the subject Learn how you can harness the power of an amazing new pattern-recognition and forecasting method from Dr. Genichi Taguchi, a world-renowned quality genius. 15 case studies from around the U.S. and Japan show how industry giants used the MTS effectively in their organizations. With this important and authoritative book, you can achieve the same success. |
From inside the book
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... Fault Diagnosis Program ( FDP ) 13.3 Observer and Residual 13.4 Process of Fault Diagnosis by Using Residuals 134 135 137 13.5 Collection of Normal Data 13.6 The Standard Space of a Normal Group 137 138 13.7 Fault Detection by ...
... FAULT DIAGNOSIS PROGRAM ( FDP ) The outline and the block diagram of our FDP are shown in Figures 13-1 and 13-2 , respectively . Figure 13-2 shows the functions of the dynamics model , the sensor fault simulator , the controller model ...
... Detection rule ( threshold ) Fault decision FIGURE 13-5 Process of fault diagnosis of " Normal " group D2 D2 , LMT ; Fault D2 < D2 LMT ; Normal D2 : Mahalanobis distance D2 : Threshold of Mahalanobis distance LMT 13.4 PROCESS OF FAULT ...
Contents
CHAPTER ONE INTRODUCTION | 1 |
CHAPTER TWO A DETAILED EXAMPLE OF MTS | 9 |
CHAPTER THREE BUSINESSPROCESS | 23 |
Copyright | |
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Common terms and phrases
References to this book
Multivariate Statistical Methods in Quality Management Kai Yang,Jayant Trewn No preview available - 2004 |