NUST Institutions Library Catalogue catalog › Details for: AI-Based Health Monitoring System of Industrial Machines / Muhammad Naveed Akhtar, Maham Sajjad, Faisal Mahboob, Muzammil Abbas. (TCC-31 / BETE-56)

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AI-Based Health Monitoring System of Industrial Machines / Muhammad Naveed Akhtar, Maham Sajjad, Faisal Mahboob, Muzammil Abbas. (TCC-31 / BETE-56)

By: Akhtar, Muhammad Naveed Contributor(s): Supervisor Dr. Ata Ur Rehman Material type: Text

TextMCS, NUST Rawalpindi 2023 Rawalpindi 2023Description: 48 pSubject(s): UG EE Project | TCC-31 / BETE-56DDC classification: 621.382,AKH

Contents:

Industries are essential assets of an economy. Industrial machines such as rotors, motors, pumps etc. are building blocks of an industry. The maintenance of these bodies is important to keep them in working state. Many maintenance techniques are available for machine monitoring, but most of them include corrective maintenance, routine maintenance, and emergency maintenance. These techniques are not efficient enough in terms of being cost effective, time saving, and prolonging machines life expectancy. The world is moving towards new technology based on AI models. Such models are being used, in order to automate the industrial sector as well. One such innovative technology is AI based, predictive machine maintenance. Machine learning can be used to always monitor industrial machines via anomaly detection. It works on data acquired from machines, which can be vibrational data, sound data and so on. This innovation is new and is helping the industrial sector in becoming more productive and efficient.

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Project Report	Military College of Signals (MCS)	Military College of Signals (MCS)	Thesis	621.382,AKH (Browse shelf)	Available		MCSPTC-451

Total holds: 0

Industries are essential assets of an economy. Industrial machines such as rotors, motors, pumps etc. are building blocks of an industry. The maintenance of these bodies is important to keep them in working state. Many maintenance techniques are available for machine monitoring, but most of them include corrective maintenance, routine maintenance, and emergency maintenance. These techniques are not efficient enough in terms of being cost effective, time saving, and prolonging machines life expectancy.
The world is moving towards new technology based on AI models. Such models are being used, in order to automate the industrial sector as well. One such innovative technology is AI based, predictive machine maintenance. Machine learning can be used to always monitor industrial machines via anomaly detection. It works on data acquired from machines, which can be vibrational data,
sound data and so on. This innovation is new and is helping the industrial sector in becoming more productive and efficient.

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