Equipment failure early-warning system and method

Abstract

The invention provides equipment failure early-warning system and method. The equipment failure early-warning system has reliable operation, high performance-price ratio and visual interface, can transmit accurate equipment failure early-warning signals in advance and has failure type self-learning function. The equipment failure early-warning method comprises the following steps of: arranging proper types of sensors on proper positions of equipment to collect the parameters, such as bearing temperature, pressure, body vibration waveform, current variation waveform, and the like of the equipment; digitizing signals collected by the sensors by adopting a low-speed data collecting module and a high-speed data collecting module; developing specific computer software to process, store and analyze the various kinds of collected data; realizing the timely time-domain frequency-domain exchange and analysis of the waveforms, such as vibration, electric current, and the like by the software by using the mathematical methods of Fourier transformation, Wigner-Ville distribution, Hilbert-Huang transform, wavelet analysis, and the like; evaluating the various detected parameters by using a scoring method of an established file; and discovering and diagnosing the early exception of the equipment, thereby early warning the equipment failure. The equipment failure early-warning system adopts a modularized framework and comprises four modules of a sensor module, a data collecting module, a data processing module and a self-learning intelligent early-warning platform, the four modules are connected by a data transmission network, and a detection mode can adopt an on-line monitoring mode and a portable point detection mode.

Description

technical field [0001] The invention belongs to the field of early warning of equipment failures in advance before accidents occur in the operation of mechanical equipment, preventing the occurrence of sudden accidents, reducing personnel and increasing efficiency to ensure safe production. Background technique [0002] As we all know, mechanical equipment will show three basic characteristics during operation. One is functional characteristics, such as the pressure, flow, speed, etc. of the medium being transported by a pump or fan during operation; The appearance characteristics, such as bearing temperature rise, body vibration, generated noise, etc.; the third category is the electrical characteristics of the equipment, such as the current and voltage changes of the motor. Various characteristic parameters of the equipment can be measured by using different sensors. [0003] The occurrence of any event has a process from quantitative change to qualitative change, and the...

AI Technical Summary

Problems solved by technology

The failure of the equipment failure point has a process from mild to serious. At the beginning, if a slight failure point is not dealt with in time, it may cause multiple failure points, and the degree of failure will gradually increase until the equipment is damaged.

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