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Fuzzy logic dynamics and machine prediction for failure analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fuzzy logic dynamics and machine prediction for failure analysis/ by Tawanda Mushiri and Charles Mbohwa.
作者:	Mushiri, Tawanda,
其他作者:	Mbohwa, Charles,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xiv, 301 p.)
標題:	Machinery - Monitoring. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3244-6
ISBN:	9781522532453 (ebook)

Fuzzy logic dynamics and machine prediction for failure analysis
Mushiri, Tawanda,

Fuzzy logic dynamics and machine prediction for failure analysis[electronic resource] /by Tawanda Mushiri and Charles Mbohwa. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiv, 301 p.)

Includes bibliographical references and index.

Chapter 1. A new technology of fuzzy logic in machinery monitoring -- Chapter 2. The case for condition-based monitoring -- Chapter 3. Expert systems and fuzzy logic -- Chapter 4. Methodological approaches on fuzzy logic applications in selected companies -- Chapter 5. Fuzzy logic application in improving maintenance in a beverage manufacturing company -- Chapter 6. Fuzzy logic application in improving maintenance in a mining company (PMC) -- Chapter 7. Fuzzy logic application and condition monitoring of critical equipment in a hydro power generation company -- Chapter 8. Programmable logic controller using fuzzy logic for water gate re-design and condition monitoring for dams -- Chapter 9. Fuzzy logic application and condition monitoring of critical equipment in a thermal power generation company -- Chapter 10. Fuzzy logic and condition monitoring of machinery plant equipment.

Restricted to subscribers or individual electronic text purchasers.

"This book explores fuzzy logic approaches to machinery failure analysis. It explores fuzzy logic approaches to beverages manufacturing companies focusing on the bottle washing process, maintenance issues for a fruits processing company, water gate control and avoidance of its failure, and other topics"--

ISBN: 9781522532453 (ebook)Subjects--Topical Terms:

1060920
Machinery
--Monitoring.

LC Class. No.: TJ153 / .M798 2018e

Dewey Class. No.: 621.8028/7

Fuzzy logic dynamics and machine prediction for failure analysis
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245 1 0 $a Fuzzy logic dynamics and machine prediction for failure analysis $h [electronic resource] / $c by Tawanda Mushiri and Charles Mbohwa.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xiv, 301 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A new technology of fuzzy logic in machinery monitoring -- Chapter 2. The case for condition-based monitoring -- Chapter 3. Expert systems and fuzzy logic -- Chapter 4. Methodological approaches on fuzzy logic applications in selected companies -- Chapter 5. Fuzzy logic application in improving maintenance in a beverage manufacturing company -- Chapter 6. Fuzzy logic application in improving maintenance in a mining company (PMC) -- Chapter 7. Fuzzy logic application and condition monitoring of critical equipment in a hydro power generation company -- Chapter 8. Programmable logic controller using fuzzy logic for water gate re-design and condition monitoring for dams -- Chapter 9. Fuzzy logic application and condition monitoring of critical equipment in a thermal power generation company -- Chapter 10. Fuzzy logic and condition monitoring of machinery plant equipment.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores fuzzy logic approaches to machinery failure analysis. It explores fuzzy logic approaches to beverages manufacturing companies focusing on the bottle washing process, maintenance issues for a fruits processing company, water gate control and avoidance of its failure, and other topics"-- $c Provided by publisher.
650 0 $a Machinery $x Monitoring. $3 1060920
650 0 $a Fuzzy logic. $3 528464
650 0 $a Failure analysis (Engineering) $3 1023719
700 1 $a Mbohwa, Charles, $e author. $3 1155982
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3244-6