000			01605nam a22001817a 4500
003			NUST
040			_a0
082			_a621.382,AKH
100			_aAkhtar, Muhammad Naveed _9118369
245			_aAI-Based Health Monitoring System of Industrial Machines / _bMuhammad Naveed Akhtar, Maham Sajjad, Faisal Mahboob, Muzammil Abbas. (TCC-31 / BETE-56)
264			_aMCS, NUST _bRawalpindi 2023 _cRawalpindi 2023
300			_a48 p
505			_aIndustries 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.
650			_aUG EE Project _9118090
690			_aTCC-31 / BETE-56 _9118237
700			_aSupervisor Dr. Ata Ur Rehman _9118238
942			_2ddc _cTHE
999			_c603330 _d603330