Fault indirect diagnosis technique of rotating blade

Abstract

A fault indirect diagnosis technique of a rotating blade comprises a vibration impact sensor group which is installed on a static component of a blade machine, senses the vibration and impact caused by aerodynamic force and forcible touch and wear of rotor blades relative to static components and includes a rotational speed sensor for detecting operation frequency of the blade machine and a blade fault diagnosis device for analyzing signals reflecting blade fault information in the signals of the vibration sensor group relative to a signal rule of the rotational speed sensor, wherein the signals of the vibration impact sensor group including at least two vibration impact sensors and the signals of the rotational speed sensor with each rotator corresponding to one are connected to the blade fault diagnosis device, and blade fault diagnostician system software which is arranged in a microprocessor installed in the blade fault diagnosis device is used for diagnosing blade faults through vibration signals and rotational speed signals. The FFT analysis of the transverse vibration shock P of the blade machine in operation, the axial vibration shock Y of the blade machine and the torsional vibration NZ of a hanging or support device of the blade machine, and the analysis of the rotational speed frequency FN of the rotor are performed for recognizing blade faults by combining a computer technique with an electric sensor and the fault diagnostician system software. Various defects of prior art can be overcome.

Description

Technical field: [0001] The invention relates to an indirect diagnosis technology for rotating blade faults, which belongs to the category of mechanical fault detection and diagnosis technology, and is mainly used for on-line detection and diagnosis of blade machines (such as gas turbines, steam turbines, water turbines, wind power generators, The failure of the blades rotating with the main shaft in blowers, helicopter fan rotors, propeller aircraft blades, etc.). technical background: [0002] In the existing transportation, energy, and material industries, blade machines (such as aviation gas turbines, turbochargers for trains and ship internal combustion engines, steam turbines for thermal power and nuclear power, water turbines for hydropower, impellers for wind power generators, metallurgical and chemical equipment) Blowers, helicopter fan rotors, propeller blades, etc.) are usually the core equipment of enterprise equipment. The important components of these equipment...

AI Technical Summary

Problems solved by technology

This not only changes the mechanical properties of the blade, distorts the detection, but also affects the shape of the blade surface and the flow field structure of the fluid; especially, once these additional detection devices fall off, it will cause catastrophic damage to the blade machine

Therefore, the vast majority of blade machines do not have blade fault diagnosis devices for online service, so that major accidents such as blade flying out occur from time to time

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