Machinery device fault combination prediction system and method

Abstract

The invention discloses a machinery device fault combination prediction system and a method, which are stable and reliable, can perform early warning and has high prediction accuracy and realizes the scientific planning and healthy management on the device. The method comprises steps of conditioning and amplifying collected signal through installing a sensor at a suitable test point in the machinery device to collect parameter information of frequency, amplitude and temperature of a spindle and a bearing bush, converting the collected signal to suitable digital signals through A/D conversion and then transmitting the signal to an upper computer, establishing a man-machine interaction interface through an Labviw software, performing collection, processing and storage on data, and integrating with polynomial regression prediction, small wave gray prediction, small wave neural network prediction and the prediction method of the particle cluster optimization support vector machine to perform combination prediction. The invention can not only analyze and predict the machine fault in order to provide feasible solution, but also provide theoretical meaning and application significance to improvement of the monitoring analysis function and the fault diagnosis accuracy of the rotation machinery device and to the enrichment and development of the fault prediction theory.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of mechanical equipment, and in particular relates to a mechanical equipment fault combination prediction system and method, which can issue early warnings of equipment faults before equipment faults, so as to avoid casualties and huge economic losses of enterprises. Background technique [0002] Mechanical equipment is the key equipment widely used in modern industrial and mining enterprises, and plays an important role in the production of enterprises. Once these equipment fails, it will not only cause damage to the equipment itself, but also may cause production interruption and cause serious safety accidents. In addition, the maintenance cost of key components of mechanical equipment is also relatively high. These factors have directly or indirectly caused huge economic losses to the enterprise. [0003] For many years, the vibration and temperature problems of mechanical equipment sh...

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Problems solved by technology

[0004] Due to the complex structure of mechanical equipment and severe nonlinear characteristics such as strong coupling and time-varying parameters, its mathematical model is difficult to establish, and any single method cannot solve the problem well

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