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Design And Implementation Of Fault Diagnosis System For The Bearing Equipments

Posted on:2014-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:H L WenFull Text:PDF
GTID:2298330452961026Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With large-scale equipment made in China’s rapid development, large-scaleequipment and key equipment for the safe operation of online reliability of faultdiagnosis will become increasingly urgent, the reliability of equipment operation cansolve the problem is large-scale production equipment, restricting our key is The key tosustainable development of enterprises. Addressing the key equipment or parts of largeequipment fault diagnosis online operation is a long-term industrial development ofChina’s strategic policy.System uses the C/S system structure, using Oracle database, fault diagnosistechnology production line using computer data acquisition and control systems, as wellas online monitoring of sensor network systems, and technical personnel in theproduction process a large number of accumulated experience, relevant technicaldocumentation and procedures for equipment specifications for the implementation ofthe technology company’s transformation and matching, to provide real-time intelligentmonitoring and maintenance personnel to the device, so that key parts of the productionsystem to maintain timely and appropriate and effective control equipment runningsmoothly, reducing equipment accidents, improve equipment operating rate, to increaseproduction and consumption reduction goals. Key equipment for the production systemas an enterprise, based on vibration, temperature, noise, displacement, speed and othersensor network technology to study the methods of equipment condition monitoring,sensor data collection, transmission, information fusion and analysis and processingmethods, and establish integrated, visual operational status of the remote monitoringsystem; based on information fusion, knowledge engineering, fault diagnosistechnology and information technology, research and production equipment, systemfault feature extraction, fault classification, fault pattern recognition and fault diagnosismethod to build production equipment system fault diagnosis system, to achieve highproductivity and efficiency to ensure business goals.Thesis of fault diagnosis system, through functional and performance testing toachieve the design objectives and requirements, and put into use in the Hebei and otherplaces, the effect is obvious. Made great profits for the enterprise. The system alsothrough business and user feedback in the continuous improvement and regularlyupdated.
Keywords/Search Tags:Fault diagnosis, State Monitoring, Sensor networks, Bearing equipment
PDF Full Text Request
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