Variable frequency scroll compressor fault diagnosis method based on improved VMD and SVM

A scroll compressor and fault diagnosis technology, applied in liquid variable capacity machinery, mechanical equipment, computer parts, etc., can solve problems such as difficulty in achieving ideal results, improve recognition accuracy and efficiency, and realize fault characteristics. Extracted, Reliable Method-Based Effects

Pending Publication Date: 2021-04-30
JIANGSU UNIV
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Problems solved by technology

Although the above methods have achieved some good results in the field of scroll compressor faul

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  • Variable frequency scroll compressor fault diagnosis method based on improved VMD and SVM
  • Variable frequency scroll compressor fault diagnosis method based on improved VMD and SVM
  • Variable frequency scroll compressor fault diagnosis method based on improved VMD and SVM

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Embodiment Construction

[0095] Specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0096] The object of the present invention is to provide a fault diagnosis method of variable frequency scroll compressor based on improved VMD and SVM, so as to realize the diagnosis of the fault category of variable frequency scroll compressor.

[0097] A fault diagnosis method for variable frequency scroll compressor based on improved VMD and SVM, the method flow is as follows figure 1 shown, including the following steps:

[0098] Step 1: Carry out the vibration test of the variable frequency scroll compressor. When the variable frequency scroll compressor is normal, the scroll disk is faulty, the bearing is faulty, and the crankshaft is faulty, multiple samplings are carried out according to a certain sampling frequency to obtain the vibration in each state. vibration acceleration signal.

[0099] Step 2: Set the VMD decomposition paramet...

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Abstract

The invention discloses a variable frequency scroll compressor fault diagnosis method based on improved VMD and SVM, and the method carries out the processing and analysis of a vibration signal of a variable frequency scroll compressor from three aspects: signal processing, feature extraction and classification recognition, and comprises the steps: firstly carrying out the vibration test of the variable frequency scroll compressor; acquiring vibration acceleration signals under different states of normality, scroll plate faults, bearing faults and crankshaft faults of the variable-frequency scroll compressor, and obtaining data samples of different fault types; taking the envelope entropy-correlation index as a fitness function, adopting a sparrow search algorithm (SSA) to optimize a variational mode decomposition (VMD) algorithm to process the vibration signal of the variable frequency scroll compressor, and obtaining intrinsic mode functions of different scales; and calculating multi-scale permutation entropies of different intrinsic mode functions to form a feature vector, inputting the feature vector into a classifier established based on a support vector machine (SVM) for training and predictive classification, and judging the fault type of the variable-frequency scroll compressor.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of variable frequency scroll compressors, in particular to a fault diagnosis method for variable frequency scroll compressors based on improved VMD and SVM. Background technique [0002] With the continuous development of the economy, the variable frequency scroll compressor is a key mechanical equipment widely used in industrial production. It is widely used in new energy vehicle air conditioning, refrigeration, air compression and other systems, and the application field is still expanding. Since the operating state of the variable frequency scroll compressor fundamentally determines the service life of the entire system, and with the change of working hours, its performance indicators are also changing, and the vibration parameters are common faults of the variable frequency scroll compressor feature. Therefore, the analysis of vibration signals is a common means of fault diagnosis, wh...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/00F04B51/00
CPCG06N3/006F04B51/00G06F2218/12G06F18/2411
Inventor 赵德安张健
Owner JIANGSU UNIV
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