Fault Diagnosis of Reciprocating Compressor Valve Based on Transfer Learning Convolutional Neural Network
نویسندگان
چکیده
منابع مشابه
Fault classification using an Artificial Neural Network based on Vibrations from a Reciprocating Compressor
Reciprocating compressors are widely used in industry for various purposes and faults occurring in them can degrade performance, consume additional energy, and even cause severe damage to the machine. This paper will develop an automated approach to condition classification of a reciprocating compressor based on vibration measurements. Both the time domain and frequency domain techniques have b...
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The major problems encountered in a reciprocating compressor are because of the valve failure .The other problem of leakage past the piston because of the worn out piston rings has also been placed in the reciprocating compressor. Pressure pulsations generated inside the piping of a reciprocating compressor may be taken as one of the tool for diagnosing the nature of fault inside the compressor...
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Early fault diagnosis in complex mechanical systems such as gearbox has always been a great challenge, even with the recent development in deep neural networks. The performance of a classic fault diagnosis system predominantly depends on the features extracted and the classifier subsequently applied. Although a large number of attempts have been made regarding feature extraction techniques, the...
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The valves in reciprocating compressors use springs to control the timing of the valve closing. These springs are subjected to dynamic loading by the motion of the valve element. The element motion is periodic, but includes rapid acceleration and deceleration. It can therefore excite a wide range of frequencies in the spring. The resulting spring surge creates high stresses and is a major contr...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2021
ISSN: 1563-5147,1024-123X
DOI: 10.1155/2021/8891424