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A challenging problem in aircraft engine health management (EHM) system development is to detect and isolate faults in system components (i.e., compressor, turbine), actuators, and sensors. Existing nonlinear EHM methods often deal with component faults, actuator faults, and sensor faults separately, which may potentially lead to incorrect diagnostic decisions and unnecessary maintenance. Therefore,...
This technical note presents a sensor fault detection and isolation scheme for a class of Lipschitz nonlinear systems with unstructured modeling uncertainty. It significantly extends previous results by considering a class of system nonlinearities which are modeled as functions of the system input and partially measurable state variables. A new sensor fault diagnosis method is developed using adaptive...
This paper presents a Ballistocardiogram (BCG) measurement system to obtain BCG signal from a subject sitting on a chair installed three load-cell sensors platform. The measurement relies on sensing pressure variations on the seat related to cardiovascular cycles. Signals from sensors are amplified and filtered through a passband between 1 Hz and 40 Hz. An embedded-software runs on Micro2440 development...
To improve the fuel economic character of bus, a hydraulic accumulator-type braking energy regeneration system is designed. Hydraulic accumulator was designed for braking energy storage. Hydraulic pump/motor was aimed at braking energy recovery and regeneration conversion. Electromagnetic clutch is a device used to mechanical connection and control. The composing scheme of electronic control system...
In order to improve the accuracy, Dempster-Shafer theory can be applied to the fault diagnosis of rotating machinery. However, the significance level of evidences is different actually when using evidence theory to fuse multi-symptom domains during fault diagnosis of rotating machinery. This paper presents evidence entropy to estimate significance level of evidence, i.e. the weight of evidences. Then,...
This paper presents a unified fault isolation scheme for process faults and sensor faults in a class of nonlinear uncertain systems. The proposed fault diagnosis architecture consists of a fault detection estimator and a bank of isolation estimators, each corresponding to a particular fault type. Based on the class of nonlinear systems and fault types under consideration, adaptive thresholds are derived...
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