An Experimental Study on Condition Monitoring and Fault Diagnosis of a Cooling Water Pump using Vibration Analysis

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کد مقاله : 1019-ISAV2023 (R1)
نویسندگان
1Condition Monitoring Unit, Smelting Department, Sarcheshmeh Copper Complex, Rafsanjan, Iran.
2Operation and Repair Unit of Water and Compressed Air Optimization, Smelting Department, Sarcheshmeh Copper Complex, Rafsanjan, Iran.
چکیده
Nowadays condition monitoring and fault diagnosis based on the vibration data is one of the most common approaches in minimizing the maintenance and repair costs of industrial machines. The current paper represents the results of the condition monitoring and fault diagnosis of a cooling water pump using the vibration analysis. In this regard, the machine under study is described, and its operating condition is investigated based on the existing charts and standards. The measured vibration signals, i.e. velocity in the low frequency range and acceleration in the high frequency range, are quantified and analyzed to find the defective component of the machine, while the frequency analysis is utilized to detect the type of the fault. The vibration signals and the frequency analysis predict some faults in the inner race and rolling elements of one of the bearings of the machine. Finally, some experimental observations are reported to validate the results obtained from the vibration analysis.
کلیدواژه ها
موضوعات
 
Title
An Experimental Study on Condition Monitoring and Fault Diagnosis of a Cooling Water Pump using Vibration Analysis
Authors
Abstract
Nowadays condition monitoring and fault diagnosis based on the vibration data is one of the most common approaches in minimizing the maintenance and repair costs of industrial machines. The current paper represents the results of the condition monitoring and fault diagnosis of a cooling water pump using the vibration analysis. In this regard, the machine under study is described, and its operating condition is investigated based on the existing charts and standards. The measured vibration signals, i.e. velocity in the low frequency range and acceleration in the high frequency range, are quantified and analyzed to find the defective component of the machine, while the frequency analysis is utilized to detect the type of the fault. The vibration signals and the frequency analysis predict some faults in the inner race and rolling elements of one of the bearings of the machine. Finally, some experimental observations are reported to validate the results obtained from the vibration analysis.
Keywords
Condition Monitoring, Fault diagnosis, Vibration Analysis, Bearing Fault Detection
مراجع

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