| CPC G01N 15/0656 (2013.01) [G01N 33/2858 (2013.01); G06N 20/00 (2019.01)] | 8 Claims |

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1. An induction type oil debris signal monitoring and identification method, which is characterized by including:
detecting electromagnetic changes in oil, and outputting a monitoring signal after signal processing;
extracting and analyzing an amplitude from the monitoring signal;
wherein if the amplitude is a bubble signal, it will not be included in the quantity of debris;
wherein analyzing, by a bubble and debris classification and identification network module, if the amplitude is a bubble signal comprises basing the bubble and debris classification and identification network module on a back propagation (BP) neural network, and training the bubble and debris classification and identification network module by inputting an oil bubble signal and a debris signal to achieve automatic separation differentiation of the bubbles and the debris;
wherein if the amplitude is a debris signal, then analyzing the monitoring signal with a two-level debris signal analysis;
during the two-level debris signal analysis, first identifying the quantity of the debris in the monitoring signal;
wherein if it is identified to be a single quantity of debris, then identifying the size of the single quantity of debris;
wherein if it is identified to be a double quantity of debris, then identifying the respective sizes of the double quantity of debris; and
wherein if it is identified to be a triple quantity of debris, then identifying the respective sizes of the triple quantity of debris; and
recording the quantity or quantities and size or sizes of the debris.
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