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Titlebook: Advances in Condition Monitoring and Structural Health Monitoring; WCCM 2019 Len Gelman,Nadine Martin,Chin Kian (Edmund) Liew Conference pr

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發(fā)表于 2025-3-21 18:01:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Condition Monitoring and Structural Health Monitoring
期刊簡(jiǎn)稱WCCM 2019
影響因子2023Len Gelman,Nadine Martin,Chin Kian (Edmund) Liew
視頻videohttp://file.papertrans.cn/148/147349/147349.mp4
發(fā)行地址Presents select papers from the 2nd World Congress on Condition Monitoring (WCCM 2019).Discusses current trends in condition monitoring and non-destructive evaluation techniques and applications.Inclu
學(xué)科分類Lecture Notes in Mechanical Engineering
圖書(shū)封面Titlebook: Advances in Condition Monitoring and Structural Health Monitoring; WCCM 2019 Len Gelman,Nadine Martin,Chin Kian (Edmund) Liew Conference pr
影響因子This book comprises the selected contributions from the 2nd World Congress on Condition Monitoring (WCCM 2019), held in Singapore in December 2019. The contents focus on digitalisation for condition monitoring with the emergence of the fourth industrial revolution (Industry 4.0) and the Industrial Internet-of-Things (IIoT). The book covers latest research findings in the areas of condition monitoring, structural health monitoring, and non-destructive testing which are relevant for many sectors including aerospace, automotive, civil, oil and gas, marine, and manufacturing industries. Different monitoring systems and non-destructive testing methods are discussed to avoid failures, increase lifespans, and reduce maintenance costs of equipment and machinery. The broad scope of the contents will make this book interesting for academics and professionals working in the areas of non-destructive evaluation and condition monitoring.
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發(fā)表于 2025-3-21 20:22:27 | 只看該作者
2195-4356 non-destructive evaluation techniques and applications.IncluThis book comprises the selected contributions from the 2nd World Congress on Condition Monitoring (WCCM 2019), held in Singapore in December 2019. The contents focus on digitalisation for condition monitoring with the emergence of the four
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https://doi.org/10.1007/978-1-4615-6591-8 applied to the house-keeping data of satellites. In this paper, we review the basic of anomaly detection based on unsupervised learning and some results in early studies and then discuss the lessons learned and challenges to be tackled in the data-driven health monitoring for artificial satellites.
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Howard S. Becker,Yiannis N. Moschovakis The results are confronted with on-site observation of the teeth. For this purpose, the evolution of both amplitude and phase modulations over several meshing harmonics are compared, as well as demodulation on both original and residual signals. Indicators to automatically classify the wear are discussed.
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Conference proceedings 2021monitoring systems and non-destructive testing methods are discussed to avoid failures, increase lifespans, and reduce maintenance costs of equipment and machinery. The broad scope of the contents will make this book interesting for academics and professionals working in the areas of non-destructive evaluation and condition monitoring.
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Multi-harmonic Demodulation for Instantaneous Speed Estimation Using Maximum Likelihood Harmonic Weior offers a series of explicit and less explicit reading guidelines, and these guidelines are profoundly helpful for everyone who endeavors to read self-conscious fiction, or arts in general, politically.
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