Online evaluation method of fluid rotating equipment operation reliability based on GMM
Aiming at the problem of low accuracy of operation reliability evaluation due to the variable and difficult to distinguish operation conditions of fluid rotating equipment,a linear evaluation method of fluid rotating equipment operation reliability based on Gaussian mixture model(GMM)is proposed in this paper.Firstly,according to the historical operation data of the equipment,the working conditions are divided based on clustering by fast search and find of density peak(DPC),and the operation reliability benchmark model based on GMM under different working conditions is constructed;Secondly,XGBoost algorithm is used to identify the real-time operation status of the equipment,and redundant indicators were reduced to build an evaluation index system for the reliability of the equipment.Then,the deviation of the evaluation indexes from the benchmark model indexes under the corresponding working conditions was calculated,and the Mahalanobis distance was used as the measurement standard to further calculate the equipment operational reliability evaluation index.Finally,taking the mine centrifuge equipment as an example,the operation reliability case analysis and model verification under multiple working conditions are carried out.The result of research show that the method can reflect the current operational reliability level of the equipment online in real time,when the operation reliability of centrifuge equipment is lower than 0.857,the equipment is considered to be in degraded state,and the evaluation accuracy rate is above 98%.
operational reliabilityworking condition divisiononline condition recognitiongaussian mixture model
万方数据
维普
