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The Experts below are selected from a list of 3306 Experts worldwide ranked by ideXlab platform

Xiao-ping Jiang - One of the best experts on this subject based on the ideXlab platform.

  • ICNC - Belt conveyor roller fault audio detection based on the wavelet neural network
    2015 11th International Conference on Natural Computation (ICNC), 2015
    Co-Authors: Xiao-ping Jiang, Guan-qiang Cao
    Abstract:

    Belt conveyor is the main equipment in coal Production Department. And it is of great significance to its normal operation on coal safety Production. At present, the belt conveyors fault detection method is still not perfect. Both the discovery and identification of the belt conveyors faults are also not timely. This paper focuses on roller fault sound audio analysis, exploring a new kind of automatic fault detection and identification method based on wavelet transform and BP neural network technology, through de-noising method to extract fault feature sound improving system recognition accuracy. This method through field verification in the mine achieves good results, which proves its feasibility.

  • Belt conveyor roller fault audio detection based on the wavelet neural network
    2015 11th International Conference on Natural Computation (ICNC), 2015
    Co-Authors: Xiao-ping Jiang
    Abstract:

    Belt conveyor is the main equipment in coal Production Department. And it is of great significance to its normal operation on coal safety Production. At present, the belt conveyors fault detection method is still not perfect. Both the discovery and identification of the belt conveyors faults are also not timely. This paper focuses on roller fault sound audio analysis, exploring a new kind of automatic fault detection and identification method based on wavelet transform and BP neural network technology, through de-noising method to extract fault feature sound improving system recognition accuracy. This method through field verification in the mine achieves good results, which proves its feasibility.

Frederik C Krebs - One of the best experts on this subject based on the ideXlab platform.

Fei He - One of the best experts on this subject based on the ideXlab platform.

Guan-qiang Cao - One of the best experts on this subject based on the ideXlab platform.

  • ICNC - Belt conveyor roller fault audio detection based on the wavelet neural network
    2015 11th International Conference on Natural Computation (ICNC), 2015
    Co-Authors: Xiao-ping Jiang, Guan-qiang Cao
    Abstract:

    Belt conveyor is the main equipment in coal Production Department. And it is of great significance to its normal operation on coal safety Production. At present, the belt conveyors fault detection method is still not perfect. Both the discovery and identification of the belt conveyors faults are also not timely. This paper focuses on roller fault sound audio analysis, exploring a new kind of automatic fault detection and identification method based on wavelet transform and BP neural network technology, through de-noising method to extract fault feature sound improving system recognition accuracy. This method through field verification in the mine achieves good results, which proves its feasibility.

Markus Hösel - One of the best experts on this subject based on the ideXlab platform.