Online quantitative recognition analysis method for loose fault of bearing support of rotor system

Abstract

The invention provides an online quantitative recognition analysis method for a loose fault of a bearing support of a rotor system. The method comprises the following steps: 1) establishing a bolt model with spiral threads; 2) acquiring a change rule of load distribution between junction surfaces of screw connection following the loose amount; 3) acquiring the change rule of normal contact stiffness and damp of the junction surfaces of screw connection following the loose amount; 4) acquiring the change rule of equivalent stiffness and damp at the loose position following the loose amount; 5) establishing a dynamical model taking the loose bearing support as an object, thereby acquiring a relation between the loose amount of the bearing support and the oil film pressure endured by the bearing support; 6) acquiring the relation between the thickness distribution of a lubricating film and the loose amount; 7) monitoring the change rule of the thickness distribution of the lubricating film in a sliding bearing online in real time; 8) quantitatively recognizing and analyzing a loose fault signal of the bearing support online. According to the method provided by the invention, a dynamical model establishing method and a fault carrier signal with a shorter route and few influence factors are supplied for the loose fault of the bearing support.

Description

【Technical Field】 [0001] The invention relates to the technical field of failure mechanism analysis and diagnosis of a rotor system, in particular to an on-line quantitative identification and analysis method for the loosening fault of a rotor system bearing support for dynamic monitoring of the thickness of the lubricating film of the support bearing by optical fiber. 【Background technique】 [0002] Rotating machinery supported by sliding bearings (turbine power generation unit, gas turbine, nuclear power unit, rocket engine, fan) is widely used in energy, national defense, electric power, transportation, petrochemical and other fields as key equipment, and has played a pivotal role in these fields effect. Due to the influence of many factors, the rotating machinery will inevitably have some failures, which will reduce the performance of the equipment or directly lose its function. The failure of the rotating unit will cause a chain reaction, which will cause the entire equipmen...

AI Technical Summary

Problems solved by technology

[0005] In view of the flaws and insufficiencies in the simulation method and fault carrier signal of the existing bearing support loose fault, the purpose of the present invention is to provide a new dynamic model establishment for the bearing support loose fault with a shorter path and fewer influencing factors Methods and Fault Carrier Signals

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