Life Prediction System of Automobile Rear Axle Based on Intelligent Bearing

Abstract

The invention discloses a service life predicting system for an automobile rear axle based on an intelligent bearing. The service life predicting system comprises the intelligent bearing, wherein a signal acquired by the intelligent bearing is outputted to an amplifying circuit for amplifying; the amplified signal is outputted to an analogue / digital conversion circuit for carrying out analogue / digital conversion; the analogue / digital conversion circuit is used for outputting a digital signal to a microcontroller; the microcontroller is used for transmitting the digital signal to a PC (Personal Computer) through a communication interface circuit; and the PC is used for receiving the digital signal, analyzing and processing the digital signal, establishing a predicted a linear time sequence model and carrying out the prediction of the service life. The service life predicting system disclosed by the invention is the service life predicting system special for the automobile rear axle and is higher in prediction precision.

Description

technical field [0001] The invention relates to a life prediction system, in particular to a life prediction system for the rear axle of an automobile. Background technique [0002] The automobile rear axle is an important component in the automobile transmission system, and its working reliability directly affects the operation of the whole system. According to statistics, 20% of automobile accidents are caused by rear axle failure. During the operation of the rear axle, if the fault of the rear axle can be predicted more accurately, it can not only effectively prevent the occurrence of the fault of the rear axle, but also reduce unnecessary maintenance, save money and increase its life. [0003] At present, the internationally representative forecasting systems include the IRD-890PM inspection and maintenance system of the American Entek company, the COMPASS TYPE 3540 system and the TYPE3560 system of the Danish D&K company, etc. These systems are generally used for offli...

AI Technical Summary

Problems solved by technology

[0003] At present, the internationally representative forecasting systems include the IRD-890PM inspection and maintenance system of the American Entek company, the COMPASS TYPE 3540 system and the TYPE3560 system of the Danish D&K company, etc. These systems are generally used for offline forecasting of equipment, although the functions are relatively powerful. But the price is also more expensive, and it is more difficult to maintain, update and improve

However, there are few domestic intelligent state online prediction systems aiming at predictive maintenance.

The patent "Automobile Information Early Warning and Parts Life Prediction System and Method" (public number: CN101064025) proposes an automobile information early warning and parts life prediction system, which can realize data collection, transmission, and diagnosis. Car maintenance records and parts information are used to estimate the safe service life of car parts. Due to individual differences in parts and working environments, the prediction accuracy is not high

Moreover, there is still a lack of online prediction system specifically for the rear axle of automobiles.

The patent application with the application number 2008100702367 and titled "Automotive Rear Axle Life Prediction System" discloses an automobile rear axle prediction system, but the signal used for analysis by this system is not stable, so the prediction error is large

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