Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems)
暫譯: 過程控制系統故障診斷:貝葉斯方法(電機系統動態與控制系列)

Ruben Gonzalez, Fei Qi, Biao Huang

  • 出版商: Wiley
  • 出版日期: 2016-09-06
  • 售價: $4,480
  • 貴賓價: 9.5$4,256
  • 語言: 英文
  • 頁數: 360
  • 裝訂: Hardcover
  • ISBN: 1118770617
  • ISBN-13: 9781118770610
  • 相關分類: 機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

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商品描述

Process Control System Fault Diagnosis: A Bayesian Approach

Ruben T. Gonzalez, University of Alberta, Canada

Fei Qi, Suncor Energy Inc., Canada

Biao Huang, University of Alberta, Canada

 

Data-driven Inferential Solutions for Control System Fault Diagnosis

 

A typical modern process system consists of hundreds or even thousands of control loops, which are overwhelming for plant personnel to monitor. The main objectives of this book are to establish a new framework for control system fault diagnosis, to synthesize observations of different monitors with a prior knowledge, and to pinpoint possible abnormal sources on the basis of Bayesian theory.

Process Control System Fault Diagnosis: A Bayesian Approach consolidates results developed by the authors, along with the fundamentals, and presents them in a systematic way. The book provides a comprehensive coverage of various Bayesian methods for control system fault diagnosis, along with a detailed tutorial. The book is useful for graduate students and researchers as a monograph and as a reference for state-of-the-art techniques in control system performance monitoring and fault diagnosis. Since several self-contained practical examples are included in the book, it also provides a place for practicing engineers to look for solutions to their daily monitoring and diagnosis problems.

 

Key features:

•             A comprehensive coverage of Bayesian Inference for control system fault diagnosis.

•             Theory and applications are self-contained.

•             Provides detailed algorithms and sample Matlab codes.

•             Theory is illustrated through benchmark simulation examples, pilot-scale experiments and industrial application.

 

Process Control System Fault Diagnosis: A Bayesian Approach is a comprehensive guide for graduate students, practicing engineers, and researchers who are interests in applying theory to practice.

商品描述(中文翻譯)

**過程控制系統故障診斷:貝葉斯方法**

Ruben T. Gonzalez,加拿大阿爾伯塔大學

Fei Qi,加拿大Suncor Energy Inc.

Biao Huang,加拿大阿爾伯塔大學

**基於數據的控制系統故障診斷推論解決方案**

一個典型的現代過程系統由數百甚至數千個控制迴路組成,這對於工廠人員來說是難以監控的。本書的主要目標是建立一個新的控制系統故障診斷框架,綜合不同監控器的觀察結果與先驗知識,並基於貝葉斯理論確定可能的異常來源。

《過程控制系統故障診斷:貝葉斯方法》整合了作者所開發的結果及其基本原理,並以系統化的方式呈現。該書全面涵蓋了各種貝葉斯方法在控制系統故障診斷中的應用,並提供詳細的教程。這本書對於研究生和研究人員來說,既是專著也是控制系統性能監控和故障診斷的最新技術參考。由於書中包含了幾個獨立的實用範例,它也為實務工程師提供了一個尋找日常監控和診斷問題解決方案的場所。

主要特點:

• 全面涵蓋控制系統故障診斷的貝葉斯推斷。

• 理論和應用是自成體系的。

• 提供詳細的算法和示範的Matlab代碼。

• 理論通過基準模擬範例、試點實驗和工業應用進行說明。

《過程控制系統故障診斷:貝葉斯方法》是一本全面的指南,適合對將理論應用於實踐感興趣的研究生、實務工程師和研究人員。