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Dr. Mohammed Naser Farooqui is an Assistant Professor in the Department of Mechanical and Mechatronics Engineering at Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, Maharashtra, India. He is engaged in teaching and academic activities in mechanical and mechatronics engineering. His contribution focuses on intelligent industrial equipment monitoring and predictive maintenance using multimodal AI.
Industrial machinery is essential in manufacturing, energy generation, transportation, processing sectors, and infrastructural activities. Unforeseen machinery malfunctions may lead to production delays, heightened maintenance expenses, safety hazards, and diminished operational effectiveness. Multimodal AI offers a sophisticated methodology by amalgamating diverse industrial data sources, such as vibration signals, acoustic measurements, thermal imagery, electrical parameters, pressure readings, operating logs, and maintenance documentation. Through the acquisition of complimentary patterns across many modalities, multimodal AI can enhance defect detection, equipment state evaluation, failure forecasting, and maintenance strategising. This section offers an extensive structure for the oversight of industrial machinery and anticipatory upkeep through the application of multimodal artificial intelligence. The section also examines real-time implementation, edge artificial intelligence, digital replicas, interpretable AI, cybersecurity, and data dependability. The suggested paradigm establishes a basis for creating intelligent, dependable, and context-sensitive industrial maintenance systems.