Intelligent machinery fault diagnostics and prognostics the future of smart manufacturing / edited by Deepam Goyal, Ankit Sharma, and Mohamad Abou Houran.

Other author Goyal, Deepam
Other author Sharma, Ankit (Professor of mechanical engineering
Other author Abou Houran, Mohamad
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton FL : CRC Press/Taylor & Francis Group, 2025.
Descriptionxviii, 270 pages illustrations 25 cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects
Machinery--Maintenance and repair. --Case studies.
Fault location (Engineering)--Case studies.
Machinery--Monitoring. --Case studies.
Machinery--Reliability. --Case studies.
Artificial intelligence--Industrial applications. --Case studies.

Physical mediumillustrations
SeriesInnovations in smart manufacturing for long-term development and growth series
Contents Introduction to fault diagnostics and prognostics : direction towards smart manufacturing / Tarunpreet Singh. Shankar Sehgal, Mustafa A. Alheety -- Advanced diagnostics and prognostics of gearbox faults in smart manufacturing : the critical role of gearboxes / Kishan Nath Sidh, Harish Hirani -- Vibration and support vector machine-based fault diagnosis of bevel gearbox / Naresh K. Raghuwanshi, Vishal Chunletia, Gulab Pamnani, Manjinder Singh, Anand Parey -- Identifying inner-race fault of a bearing using nonlinear mode decomposition technique supported by blind source separation methods / Swapna Singh and Nitesh Yelve -- Detection and classification of low severity stator inter-turn faults in induction motors using temporal features : a comparative machine learning approach / Rahul Ranjeev Kumar, Krish Kumar Raj, Shahil Kumar, Giansalvo Cirrincione, Maurizio Cirrincione -- Feature selection for accurate remaining useful life prediction of bearing using machine learning / Afroz Ahmed Saad, Anurag Choudhary, Shahab Fatima and Bijaya Ketan Panigrahi -- Deep learning and statistical model-based data-driven intelligent fault prognostics of rotary machinery / Zhuyun Chen, Junyu Qi, Jingyan Xia -- Remaining useful life prediction for aircraft structure : towards a digital twin ecosystem / Teng Wang, Zheng Liu -- Free vibration control of crack curved cracked simple supported beams using fuzzy logic control with particle swarm optimization tuning / Ashok Ravichandran, Prases K Mohanty, M K Haridharan -- Fault diagnosis of composite mono leaf spring based on vibration characteristics / N.I. Jamadar, K.B. Waghulde, Rakesh Raushan -- Current sensor fault tolerant control for model predictive control of induction motor drives / Sukanta Das, Rajarshi Chakraborty.
Abstract "The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches. This book delves into the fascinating world of intelligent machinery fault diagnostics and prognostics, exploring how these advancements are reshaping the way we monitor, diagnose, and predict faults in machinery"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2024052792
ISBN9781032769479 hardback
ISBN9781032770093 paperback
ISBNebook

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