000			01579nam a2200217 4500
999			_c383227 _d383227
003			APU
005			20201229005039.0
008			200826b2019 xxu||||| |||| 00| 0 eng d
050			_aPG-22-0060
100	0		_aGIDEON JGORDON ANAK ISA (TP038643) _946351
245	1	0	_aINTELLIGENT CONDITION MONITORING SYSTEM FOR PREDICTIVE MAINTENANCE ON DC PUMP / _cGIDEON JGORDON ANAK ISA.
260			_aKuala Lumpur : _bAsia Pacific University, _c2019.
300			_axiv, 114 pages : _billustrations ; _c30 cm.
502			_aA project submitted in partial fulfillment of the requirement of Asia Pacific University of Technology and Innovation for the Degree of B.Eng (Hons) in Mechatronic Engineering (UC4F1811ME).
520			_aIn water distribution system, a breakdown in pump can lead to service disruption in the ware distribution services. The consequences would lead to a hampering in the daily lives of user dependent on the pump to deliver water. The main cause of pump breakdown can be attributed from a phenomenon called cavitation. Cavitation is a slow process and mostly unnoticeable by naked eyed as it occurred in the impeller of the pump. This paper proposed a condition monitoring system integrated with of Machine Learning and IoT for predictive maintenance of the pump. The project was successfully commission in several pumps for predictive maintenance.
650		0	_aMachinery _xMonitoring. _946352
650		0	_aCavitation. _946353
650		0	_aFluids _xMechanics. _946354
700	0		_aDr. Alvin Yap Chee Wei _eSupervisor. _947178
942			_2lcc _cUndergraduate Theses