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DOI: 10.2174/97988988108701250101 eISBN: 979-8-89881-087-0, 2025 ISBN: 979-8-89881-088-7
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For Books Tanu Singh, Vinod Patidar, Arvind Panwar, Urvashi Sugandh , " Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 ", Bentham Science Publishers (2025). https://doi.org/10.2174/97988988108701250101
Print ISBN979-8-89881-088-7
Online ISBN979-8-89881-087-0
Page: i-i (1) Author: Manju Khari DOI: 10.2174/9798898810870125010001
Page: ii-iii (2) Author: Tanu Singh, Vinod Patidar, Arvind Panwar and Urvashi Sugandh DOI: 10.2174/9798898810870125010002
Page: iv-v (2) Author: DOI: 10.2174/9798898810870125010003
Page: 1-29 (29) Author: Arvind Panwar*, Urvashi Sugandh, Neha Sharma, Manish Kumar and Kuldeep Singh Kaswan DOI: 10.2174/9798898810870125010004 PDF Price: $30
Page: 30-48 (19) Author: Aditya Kejrewal* DOI: 10.2174/9798898810870125010005 PDF Price: $30
Page: 49-73 (25) Author: Kiran Deep Singh, Harsh Taneja*, Prabh Deep Singh and Jessica Singh Syal DOI: 10.2174/9798898810870125010006 PDF Price: $30
Page: 74-92 (19) Author: Phey Phey Lim, Kim Ho Yeap*, Veerendra Dakulagi and Yu Jen Lee DOI: 10.2174/9798898810870125010007 PDF Price: $30
Page: 93-117 (25) Author: Sunakshi Mehra*, Varun Kumar Singh and Ashif Ali DOI: 10.2174/9798898810870125010008 PDF Price: $30
Page: 118-146 (29) Author: Vaswati Gogoi, Tanu Singh*, Vinod Patidar and Manu Singh DOI: 10.2174/9798898810870125010009 PDF Price: $30
Page: 147-169 (23) Author: Ankush Kumar Gaur* and Joseph Arul Valan DOI: 10.2174/9798898810870125010010 PDF Price: $30
Page: 170-201 (32) Author: Arvind Panwar*, Urvashi Sugandh, Achin Jain, Kuldeep Singh Kaswan and Harsh Taneja DOI: 10.2174/9798898810870125010011 PDF Price: $30
Page: 202-220 (19) Author: Sonu Kumar Jha*, Somaraju Suvvari and Mukesh Kumar DOI: 10.2174/9798898810870125010012 PDF Price: $30
Page: 221-236 (16) Author: Arul Prakash A.*, S. Vignesh, Rahin Batcha R., D. Saravanan and Vijay Ramalingam DOI: 10.2174/9798898810870125010013 PDF Price: $30
Page: 237-266 (30) Author: Neha Sharma*, Arvind Panwar, Rakesh Sharma, Urvashi Sugandh and Manish Kumar DOI: 10.2174/9798898810870125010014 PDF Price: $30
Page: 267-283 (17) Author: Prokash Gogoi* and Joseph Arul Valan DOI: 10.2174/9798898810870125010015 PDF Price: $30
Page: 284-307 (24) Author: Pranav Shrivastava*, Prerna Agarwal, Saquib Hussain and Kareena Tuli DOI: 10.2174/9798898810870125010016 PDF Price: $30
Page: 308-313 (6) Author: Tanu Singh, Vinod Patidar, Arvind Panwar and Urvashi Sugandh DOI: 10.2174/9798898810870125010017
Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics. Key Features Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance. Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies. Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors. Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models. Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare. Maps future trends and emerging technologies driving predictive maintenance research.
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