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Advances in condition monitoring of ...
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Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in condition monitoring of machinery in non-stationary operationsedited by Anna Timofiejczuk ... [et al.].
其他題名:
proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /
其他題名:
CMMNO 2016
其他作者:
Timofiejczuk, Anna.
團體作者:
出版者:
Cham :Springer International Publishing :2018.
面頁冊數:
x, 373 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
MachineryCongresses.Monitoring
電子資源:
http://dx.doi.org/10.1007/978-3-319-61927-9
ISBN:
9783319619279$q(electronic bk.)
Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /
Advances in condition monitoring of machinery in non-stationary operations
proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /[electronic resource] :CMMNO 2016edited by Anna Timofiejczuk ... [et al.]. - Cham :Springer International Publishing :2018. - x, 373 p. :ill., digital ;24 cm. - Applied condition monitoring,v.92363-698X ;. - Applied condition monitoring ;v.1..
This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2016, held on September 12 - 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
ISBN: 9783319619279$q(electronic bk.)
Standard No.: 10.1007/978-3-319-61927-9doiSubjects--Topical Terms:
561178
Machinery
--Monitoring--Congresses.
LC Class. No.: TJ153
Dewey Class. No.: 621.816
Advances in condition monitoring of machinery in non-stationary operationsproceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /
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