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Overview: Data analytics and Artificial Intelligence (AI) or data mining techniques have emerged as essential tools for this decade which invite a new revolution in the way manufacturers manage their operations. This has resulted in a transformation in predictive maintenance (PdM), an indispensable strategy that uses the power of data and AI to optimize maintenance practices and, in doing so, redefine the manufacturing landscape/process. Hence, this book provides detail of various topics such as where it uses data analytics and Artificial Intelligence techniques in predictive maintenance in the manufacturing industry. This book will start with fundamental concepts, the transformative impact, and reasons why this convergence of technology and industry is not just a trend but a revolution. As we move on this journey through the realms of data, algorithms, sensors, and real-time decision-making, this book explain essential implications of these emerging (data analytics/data mining techniques) technologies on the future of manufacturing. It starts from data collection and preprocessing to the deployment of required Machine Learning models in the respective area. Machine Learning, a subset of Artificial Intelligence (AI), has become a fundamental aspect of contemporary computing. Its capacity to enable systems to learn from data and independently make informed choices has sparked revolutionary advancements across various sectors. In recent years, the field has witnessed unprecedented growth, driven by advancements in computational power, data availability, and algorithmic sophistication. The essence of Machine Learning lies in its departure from traditional rule-based programming paradigms.
Genre: Non-Fiction > Tech & Devices
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