Rolling bearing structure into which wheel speed sensor is embedded

Abstract

The invention provides a rolling bearing structure into which a wheel speed sensor is embedded. The rolling bearing structure comprises a rolling bearing formed by connecting an outer ring, a roller,a retainer and an inner ring. The wheel speed sensor is embedded into the rolling bearing, the wheel speed sensor acquires instant rotating speed information of the retainer for fault diagnosis of therolling bearing, and the wheel speed sensor is a magnetoelectric wheel speed sensor or a Hall type wheel speed sensor composed of a sensor body and a gear ring. As in the operating process of the rolling bearing, instant rotating speed signals shown on the retainer comprise rich fault information, transmission and conversion between fault stimulation and the instant rotating speed signals are simpler relative to vibrating signals, the instant rotating speed signals are more sensitive to faults relative to the vibrating signals, and the signal-to-noise ratio is higher. The wheel speed sensor and the rolling bearing are designed into an integrated structure, and the rolling bearing structure is convenient to use and low in cost.

Description

technical field [0001] The invention relates to the technical field of rolling bearing fault diagnosis, in particular to a rolling bearing structure embedded with a wheel speed sensor. Background technique [0002] Rotating machinery is widely used in various fields such as automobiles, aerospace, electric power, and metallurgy. As a key component of rotating machinery, rolling bearings will cause serious consequences and economic losses if they fail. Therefore, rolling bearing fault diagnosis and health management technologies are subject to industry and extensive attention in academia. The fault diagnosis of rolling bearings usually adopts methods such as vibration detection, acoustic emission detection, and oil analysis. The above methods have their own advantages and disadvantages, and the vibration signal analysis method is the most widely used. The sensors required for vibration measurement are usually arranged on the bearing housing, and the signal is often easily af...

AI Technical Summary

Problems solved by technology

The sensors required for vibration measurement are usually arranged on the bearing seat, and the signal is often easily affected by the transmission path and environmental noise, resulting in a poor signal-to-noise ratio, and it is difficult to extract bearing fault features. The above problems are particularly prominent on large, low-speed, heavy-duty bearings

At present, it is difficult to accurately obtain the slip rate of rolling bearings through vibration data analysis. Bearing slipping faults are mostly judged by detecting the degree of slipping burns. Therefore, effective online monitoring methods for slipping faults are needed to monitor the occurrence and development of slipping faults and further study the slipping mechanism. , to propose improvement directions for bearing design and assembly process

In addition, the vibration sensor and its supporting acquisition device are expensive, which is one of the main reasons that limit the promotion of rolling bearing fault diagnosis and condition monitoring technology

Images