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Most of low-power electronic devices such as wireless sensors and implantable devices are powered by electrochemical batteries which have limited lifespans, need frequent maintenance and may pollute the environment. To solve this problem, sustainable power supply may be achieved by scavenging ambient vibration energy. Electromagnetic, electrostatic and piezoelectric transduction mechanisms have been...
The paper presents an effective and efficient method for sensor fault detection and identification within a large group of sensors based upon hierarchical cluster analysis. Fingerprints of the hierarchical clustering dendrograms are found for normal operation using normalized data, and sensor faults are detected through cluster changes occurring in the dendrogram. The proposed strategy is built into...
The paper presents an efficient approach for applied sensor fault detection based on an integration of principal component analysis (PCA) and artificial neural networks (ANNs). Specifically, PCA-based y-indices are introduced to measure the differences between groups of sensor readings in a time rolling window, and the relative merits of three types of ANNs are compared for operation classification...
The paper presents a readily implementable and computationally efficient method for sensor fault detection based upon an extension to principal component analysis (PCA) and y-distance indexes. The proposed extension is applied to system data from a sub-15MW industrial gas turbine, with explanations of the eigenvalue/eigenvector problem and the definition of z-scores and principal component (PC) scores...
This work demonstrates a novel control strategy for the drive mode of a MEMS gyroscope using ascending frequency drive with AGC-2DOF PID controller instead of resonant frequency drive. It can suppress the electrical coupling from the drive electrodes to the sense electrodes, reduce the low frequency noise and improve the transient response by using 2DOF PID controller. Test results indicate the electrical...
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