A new method is proposed to identify the location of transient events, including incipient faults, in power distribution systems, by using synchronized measurements from an emerging class sensors, called waveform measurement units (WMUs). WMUs capture voltage and current waveforms time domain. The consists three steps. first step characterize oscillatory modes components all captured WMUs, cond...

Many systems, such as aeroplanes, military projects and new cars are being built and designed around the fault diagnosis system, and in such instances the concept of fault diagnosis is put on equal parity with the system itself; either for the purposes of safety, performance or as a good selling point. On the other hand, there still remain a large number of mechanisms such as diesel engines whi...

As more engineering operations become automatic, the need for robustness towards faults increases. Hence, a fault tolerant control (FTC) scheme is a valuable asset. This paper presents a robust sensor fault FTC scheme implemented on a flexible arm manipulator, which has many applications in automation. Sensor faults affect the system's performance in the closed loop when the faulty sensor readi...

In this paper, we investigated the use of seasonal autoregressive integrated moving average (SARIMA) time series models for fault detection in semiconductor etch equipment data. The derivative dynamic time warping algorithm was employed for the synchronization of data. The models were generated using a set of data from healthy runs, and the established models were compared with the experimental...

This paper deals with the problem of sensor fault detection of induction motors described by some linear models blended together through non linear membership functions that involve unmeasurable decision variables. The intermittent disconnections of the sensors produce severe transient errors in the estimator used in the control loop, worsening the performance of the induction motor. Then, a Ta...

Modern electrical power disribution systems play a critical role in system operations. Therefore, early fault detection and isolation is essential to maintaining system safety and avoiding catastrophic failures. This paper discusses a fault isolation scheme based on a qualitative fault signature-based isolation mechanism that applies to abrupt, incipient and intermittent faults in the system. W...

An intelligent diagnostic scheme using sensor network for incipient faults is proposed using a holistic approach which integrates model-, fuzzy logic-, neural networkbased schemes. In case the system is highly non-linear and there are enough training data available, a neural network based scheme is preferred; where the rules relating the input and output can be derived, a Fuzzy-logic approach i...

The vibration signatures of a normally aspirated diesel engine contain valuable information on the health of the combustion chamber components. It could be used to detect incipient faults in the engine. Several commonly occurring faults were induced in a 4-stroke diesel engine and the ensuing vibration signals recorded. Three diierent feature extraction techniques: Domain expertise, wavelet ana...