Application of Kernel GDA to Performance Monitoring and Fault Diagnosis for Rotating Machinery

Faults in rotating machine are difficult to detect and identify,especially when the system is complex and nonlinear.In order to solve this problem,a novel performance monitoring and fault diagnosis method based on kernel generalized discriminant analysis(kernel GDA,KGDA) was proposed.Through KGDA,the data were mapped from the original space to the high-dimensional feature space.Then the statistic distance between normal data and test data was constructed to detect whether a fault was occurring.If a fault had occurred,similar analysis was used to identify the type of faults.The effectiveness of the proposed method was evaluated by simulation results of vibration signal fault dataset in the rotating machinery,which was scalable to different rotating machinery.     

环境信息披露对煤炭上市企业的企业价值影响研究——基于监事会规模的调节效应

选取我国煤炭上市企业2015~2019年的环境信息披露数据为样本,采用平衡面板模型分析了企业信息披露水平对企业价值的影响,并对两者之间滞后作用进行了分析研究。同时,引入监事会规模来验证其对环境信息披露与企业价值之间的调节作用。实证结果表明：企业环境信息披露的程度与企业价值呈正向相关,监事会规模对企业环境信息披露与企业价值之间的关系表现出显著的正向调节作用。研究得出,我国应继续完善环境信息披露制度,激励企业在日后积极进行企业环境信息披露,并充分发挥监事会在企业信息披露中的监督作用,以帮助企业提升环境信息披露质量,促使企业可持续发展。