Motor fault diagnosis method based on CN and PCA, electronic equipment and medium
A fault diagnosis and algorithm technology, applied in the field of electronic equipment and media, motor fault diagnosis based on CN and PCA, can solve problems such as generalization ability restriction, change feature extraction method or its evaluation standard, etc., to improve separability, Improve the efficiency of fault diagnosis and the effect of fast model convergence
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Embodiment 1
[0062] see figure 1 , figure 1 It is a schematic flow chart of a CN and PCA-based motor fault diagnosis method disclosed in the embodiment of the present invention. Among them, the execution subject of the method described in the embodiment of the present invention is built by software / hardware, and can use devices with processing and storage functions such as computers and servers. In the case of a small amount of data, mobile phones and tablets can also be used computer etc. Such as figure 1 As shown, the motor fault diagnosis method based on CN and PCA includes the following steps:
[0063] 110. Receive the raw data of the motor collected by the sensor.
[0064] The sensor can collect the internal parameter data of the motor, such as voltage, current, and acceleration, and can also collect vibration information of the base, drive end, etc. of the motor during operation. There can be one or more sensors. When there are multiple sensors, it is preferable to use different...
Embodiment 2
[0115] see figure 2 , figure 2 It is a structural schematic diagram of a motor fault diagnosis device based on CN and PCA disclosed in the embodiment of the present invention. Such as figure 2 As shown, the device may include:
[0116] The receiving unit 210 is configured to receive the raw data of the motor collected by the sensor;
[0117] Normalization unit 220, used to carry out normalization process to described raw data, and convert to 15 binary data;
[0118] A mapping unit 230, configured to spatially map the binary data using the CN algorithm to obtain a 10-dimensional spatial mapping matrix;
[0119] Dimensionality reduction unit 240, for utilizing PCA algorithm to carry out dimensionality reduction processing to described spatial mapping matrix, obtains the characteristic matrix of 3 dimensions;
[0120] Diagnosis unit 250, configured to input the feature matrix into a pre-trained network model, and output a diagnosis result.
[0121] As an optional impleme...
Embodiment 3
[0151] see image 3 , image 3 It is a schematic structural diagram of an electronic device disclosed in an embodiment of the present invention. As shown in Figure 3, the electronic equipment may include:
[0152] a memory 310 storing executable program code;
[0153] a processor 320 coupled to the memory 310;
[0154] Wherein, the processor 320 calls the executable program code stored in the memory 310 to execute some or all of the steps in the CN and PCA-based motor fault diagnosis method in the first embodiment.
[0155] The embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program, wherein the computer program enables the computer to execute some or all of the steps in the CN and PCA-based motor fault diagnosis method in Embodiment 1.
[0156] The embodiment of the present invention also discloses a computer program product, wherein, when the computer program product runs on the computer, the computer is made to e...
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