Mechanical failure monitoring system and method

Abstract

The invention belongs to the field of monitoring technology, and provides a mechanical failure monitoring system and a mechanical failure monitoring method. The mechanical failure monitoring system comprises a plurality of sensors, a GPU conditioning module, a GPU acquisition module, a GPU encoding module and a processor, wherein the plurality of sensors are used for detecting mechanical equipment to obtain multi-path operating parameters; the GPU conditioning module is connected with the plurality of sensors, and is used for conditioning the multi-path operating parameters; the GPU acquisition module is connected with the GPU conditioning module, and is used for converting the conditioned multi-path operating parameters into digital signals to obtain multi-path digital signals; the GPU encoding module is connected with the GPU conditioning module, and is used for encoding the multi-path digital signals; and the processor is connected with the GPU encoding module, and is used for carrying out parallel processing on the encoded multi-path digital signals through GPU monitoring software. Therefore, the purpose of applying a general purpose computation graphics processing unit GPGPU to the mechanical failure monitoring system is realized, the synchronous analysis and processing of the multi-path operating parameters in the current window are realized, the miniaturization of the mechanical failure monitoring system is achieved, and the failure monitoring speed is increased.

Description

technical field [0001] The invention belongs to the technical field of monitoring, and in particular relates to a mechanical fault monitoring system and method. Background technique [0002] With the development of diagnostic monitoring technology, there are many equipments on the market that monitor the operation of machinery and equipment, such as vibration analyzers, noise analyzers, etc. These monitoring instruments are generally composed of acquisition equipment, sensors, processing modules and software, and are mainly divided into three types. [0003] The first type is a basic measurement device that is handheld. Simple output display with one or two sensors, combined with basic conditioning circuitry, using basic analog-to-digital converters and microprocessors. [0004] The second type is a portable instrument based on ARM or x86 processor embedded system design. Compared with the first type of instrument, its data processing ability is stronger, and it can perfo...

AI Technical Summary

Problems solved by technology

However, only one complex algorithm can be implemented in the current window for each calculation, and multiple algorithms are implemented through serial, and simultaneous analysis of multiple channels and synchronous processing of multiple complex algorithms cannot be performed, so the machine cannot be processed at the same time. Perform various fault monitoring and analysis

[0005] The third type is a monitoring system based on a high-performance server (generally an SMP multi-processor structure). This system has dozens of x86 processing cores with strong performance, so it can process multiple channels and multiple algorithms at the same time. However, the whole set of equipment is bulky and consumes a lot of power. It is generally used in online systems and placed in the monitoring room.

Although there is also research on CPU-GPU cooperative computing methods, they are only some basic assumptions mainly aimed at the cooperative mode, and there is no research application in the field of mechanical fault diagnosis.

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