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AI-Based Fault Detection and Diagnosis Techniques in Control System Engineering: Focus on Food Processing Industry
Abstract
This chapter presents the major applications of Artificial Intelligence techniques (AI) in fault diagnosis of various control engineering fields. AI has made substantial improvements in various fields of Engineering, including control engineering. There are few noteworthy applications of AI in fault diagnosis related to control systems includes the control of industrial automation, power systems, robotic automation, medical applications, transportation systems, renewable energy, building automation, telecommunications etc. The early and effective diagnosis of fault can prevent downtime and repairs. In industrial automation, AI can efficiently detect anomalies in sensor readings and abnormalities in machine operation. Neural networks learn from the patterns of past historical data and identify the faults or anomalies. This chapter mainly focuses on the benefits and challenges in applying AI for fault diagnosis in the field of control engineering in food processing, monitoring control and future research perspectives
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