Fuzzy Comprehensive Evaluation of Hydroviscous Drive Performance Degradation Based on Improved Game Theory Combination Weighting
Jianpeng Wu, Pengpeng Li, Liuyang Guo, Liyong Wang, Jiahao Cui, Chengbing Yang
Abstract
The hydroviscous drive (HVD) performance is crucial for the long-term stable operation of the heavy equipment cooling system. To accurately evaluate the HVD performance degradation, a fuzzy comprehensive evaluation method is proposed. This method first conducts an accelerated life test to obtain the HVD performance degradation data and establish a factor and evaluation set for the HVD performance degradation evaluation. The index subjective and objective weights are combined using an improved game theory combination weighting method, and the reliability of the combination weight is verified. The trapezoidal membership degree function is introduced to visualize the performance degradation process of HVD. The results indicate that the average relative errors of the fuzzy comprehensive and linear fitting evaluation models are 19.5% and 40.7%, and the fuzzy comprehensive model using the Gaussian membership function and triangular membership function are 25.9% and 31.4% in the HVD performance degradation evaluation. These results verify the accuracy and superiority of the fuzzy comprehensive evaluation model.