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Machinery prognostics and prognosis ...
~
Yan, Jihong.
Machinery prognostics and prognosis oriented maintenance management
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machinery prognostics and prognosis oriented maintenance managementJihong Yan.
作者:
Yan, Jihong.
出版者:
Singapore :Wiley,2015.
面頁冊數:
1 online resource (356 p.) :ill.
標題:
MachineryMaintenance and repair.
電子資源:
http://onlinelibrary.wiley.com/book/10.1002/9781118638743
Machinery prognostics and prognosis oriented maintenance management
Yan, Jihong.
Machinery prognostics and prognosis oriented maintenance management
[electronic resource] /Jihong Yan. - Singapore :Wiley,2015. - 1 online resource (356 p.) :ill.
Includes bibliographical references and index.
Data Processing -- Signal Processing -- Health Monitoring and Prognosis -- Prediction of Remaining Useful Life -- Maintenance Planning and Scheduling -- Prognosis Incorporating Maintenance Decision-Making -- Case Studies.
"This book gives a complete presentation of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Latest research results and application methods are introduced for signal processing, reliability moelling, deterioration evaluation, residual life prediction and maintenance-optimization as well as applications of these methods"--Subjects--Topical Terms:
367883
Machinery
--Maintenance and repair.
LC Class. No.: TJ174 / .Y36 2015eb
Dewey Class. No.: 621.8/16
Machinery prognostics and prognosis oriented maintenance management
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Includes bibliographical references and index.
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Data Processing -- Signal Processing -- Health Monitoring and Prognosis -- Prediction of Remaining Useful Life -- Maintenance Planning and Scheduling -- Prognosis Incorporating Maintenance Decision-Making -- Case Studies.
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"This book gives a complete presentation of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Latest research results and application methods are introduced for signal processing, reliability moelling, deterioration evaluation, residual life prediction and maintenance-optimization as well as applications of these methods"--
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http://onlinelibrary.wiley.com/book/10.1002/9781118638743
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