Quality Based Prioritized Sensor Fault Monitoring Methodology

To improve the detection and identification performance of the Statistical Quality Monitoring （SQM） system, a novel quality based Prioritized Sensor-Fault Detection （PSFD） methodology is proposed. Weighted by the Vp （variable importance in projection） index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Qv, is developed toensure that the most vital sensor faults be detected successfully. Subsequently, the ratio between the Detectable Minimum Faulty Magnitude （DMFM） of the most important sensor and of the least important sensor is only gpmin/gpmax 〈〈 1. The Structured Residuals are designed according to the Vp index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.

改进察觉和监视的统计质量(SQM ) 的鉴定性能系统，基于的新奇质量优先考虑传感器差错察觉(PSFD ) 方法论被建议。由 Vp (在设计的可变重要性) 加权索引，显示传感器变量的重要性到优秀变量，新监视统计数值， Qv，被开发保证最，重要传感器差错成功地被检测。随后，在最重要的传感器并且最少的重要传感器的可检测的最小的有缺点的大小(DMFM ) 之间的比率仅仅是 Vpmin/Vpmax 1。结构化的剩余根据 Vp 索引被设计识别然后孤立他们。理论调查结果被在田纳西伊斯门过程上执行的模拟研究充分支持。