论文部分内容阅读
介绍了一种作者提出的容错型质量厚度传感器的原理及性能，给出了应用卡尔曼滤波器的传感器故障诊断算法，与容错型质量厚度传感器结合，实现了对传感器部分部件故障的容错，从而提高了传感器的可靠性。结合造纸过程的仿真研究表明，文中所给的诊断和容错方法，能及时准确探明并隔离出传感器故障，使传感器在正常及部分故障时，均能给出可靠的测量值。
This paper introduces the principle and performance of a fault-tolerant mass thickness sensor proposed by the author, and presents a sensor fault diagnosis algorithm based on Kalman filter, which is combined with a fault-tolerant mass thickness sensor to achieve fault tolerance of part of the sensor. Improve the reliability of the sensor. The simulation study of papermaking process shows that the methods of diagnosis and fault tolerance given in this paper can detect and isolate the sensor faults in time and accurately so that the sensors can give reliable measurements in both normal and partial faults.