Yanshan University

Haiwu Zheng

Dingxuan Zhao

Hao Xiong

Ziqi Huang

Zeping Li

Zhuangding Zhou

An experimental platform of the present disclosure is very close to an active suspension apparatus in a real vehicle. Fault feature data acquired on the basis of the experimental platform can well represent actual faults, so that a fault diagnosis model obtained on the basis of training of fault feature data sets has a relatively high practical value. According to the method of the present disclosure, noise reduction processing is performed on acquired vibration signals by combining with longitudinal displacement and lateral inclination angle data as well as positional relationships between vibration sensors of different hydraulic elements and an inertial sensor, and feature extraction is performed on vibration signals after noise reduction processing, so that constructed fault feature data sets are more accurate and more characteristic. The fault feature data sets are gradually expanded according to the actual faults, so that the fault diagnosis model has a certain self-learning capability.

Experimental platform for electro-hydraulic servo active suspensions and method for fault diagnosis

A wheel action-based active suspension damping adjustment apparatus recognizes wheel actions through a steering apparatus, distance measuring apparatuses and force sensors and calculates an action damping magnitude according to damping parameters determined by different wheel actions, thereby achieving optimal adjustment under different actions. The changes in an inclination angle of a vehicle cabin floor and a vertical acceleration are monitored by using an inclination angle sensor and acceleration sensors, and meanwhile, an inclination angle damping and an acceleration damping are determined according to exceeding amplitudes, and a total damping of active suspensions is fed back and corrected, thereby further enhancing an adjustment and control effect of the active suspensions. According to the method, basic damping, action damping, inclination angle damping and acceleration damping data is output and recorded, and classified according to a vehicle state and the wheel actions, data changes under a same classification are compared.

Growing community of inventors

Qinhuangdao, China

Haiwu Zheng