Multi-parameter monitoring device and method suitable for abnormal state of mechanical device

Abstract

The invention discloses a multi-parameter monitoring device and method suitable for the abnormal state of a mechanical device. The device comprises a data analysis and fault diagnosis server, and a plurality of early warning monitoring terminals and at least two data information acquisition terminals which are in signal connection with the data analysis and fault diagnosis server. During monitoring, the data analysis and fault diagnosis server reads various sensing data, preprocesses the sensing data, performs abnormal vibration analysis and mechanical fault diagnosis on the preprocessed vibration data, obtains a sensing data fusion estimation result by adopting a fuzzy reasoning mechanism, and outputs a result of the overall operation state of the mechanical device. According to the monitoring method, an abnormal vibration analysis and mechanical fault diagnosis method is adopted to judge the abnormal vibration type, the fuzzy reasoning is conducted on the mechanical device operationstate according to a fuzzy reasoning rule knowledge base, and the overall operation state of mechanical device is evaluated, so that the long-term online unattended abnormal state monitoring and faultearly warning of multiple devices are realized.

Description

technical field [0001] The invention belongs to the technical field of measurement and control, and relates to a multi-parameter monitoring device suitable for the abnormal state of mechanical equipment; the invention also relates to a method for monitoring the abnormal state of mechanical equipment by using the device. Background technique [0002] With the development of science and technology and social economy, complex machinery and equipment are widely used in various industries, such as: large-scale power generation steam turbine units, high-speed automatic machining centers, high-speed EMUs, etc. Some large-scale equipment often contains many functional modules, and each module coordinates and interacts with each other. Any abnormality of any module may cause immeasurable consequences. Therefore, effective fault monitoring and diagnosis are of great significance to ensure the normal operation of mechanical equipment. [0003] At present, many mechanical equipment sti...

AI Technical Summary

Problems solved by technology

However, compared with some developed countries, the current domestic mechanical equipment fault detection and diagnosis technology is still lagging behind, and its practical application in many harsh environments, which is inconvenient for manual monitoring, has not yet reached a state of popularization. The monitoring of equipment vibration and the real-time detection of equipment in case of failure all stay in the most primitive regular detection state

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