Fault detection method and device for rotating mechanical equipment

Abstract

An embodiment of the invention discloses a fault detection method and a fault detection device for rotating mechanical equipment, which are used for realizing precise detection of a fault of the rotating mechanical equipment. The fault detection method comprises the steps of: pre-constructing an expert decision-making system used for fault determination and a fault classification model use for fault classification based on historical data; extracting a vibration signal feature value after acquiring an original vibration signal of the rotating mechanical equipment; inputting the vibration signal feature value and acquired equipment data of the rotating mechanical equipment into the expert decision-making system to obtain a fault determination result about whether the rotating mechanical equipment has a fault; further, when the fault exists, inputting the vibration signal feature value and the acquired equipment data of the rotating mechanical equipment into the fault classification model to obtain a fault classification result. The fault detection method and the fault detection device can realize the intelligent fault diagnosis and classification of the rotating mechanical equipmentby utilizing an artificial intelligence algorithm, and improve the efficiency and effectiveness of fault detection.

Description

technical field [0001] The present application relates to the technical field of fault detection of industrial equipment, in particular to a fault detection method and device for rotating mechanical equipment. Background technique [0002] In the background of industrial production, it is necessary to monitor the working status of rotating mechanical equipment such as steam turbines. The traditional state monitoring of rotating mechanical equipment adopts fixed threshold monitoring and fault judgment, which can solve the monitoring problem of a kind of state universally. However, with the complexity of the monitored state and parameters, the complexity of the industry's production process, and other non-consistent objective conditions, such as equipment aging, model differences, and production process differences, etc., based on traditional fixed threshold monitoring to achieve failure There will be fault false positives and false positives in the detection, and it is impos...

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Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a fault detection method and device for rotatin

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