Induction motor vibrations, caused by bearing defects, result in the modulation of the stator current. In this research, bearing defect is detected using the stator current analysis via Meyer wavelet in the wavelet packet structure, with energy comparison as the fault index. The advantage of this method is in the detection of incipient faults. The presented method is evaluated using experimenta...

BACKGROUND GPs are often the first point of contact for patients with prodromal schizophrenia. Early intervention, and therefore early detection, of schizophrenia is pivotal for the further disease course. However, recent studies have revealed that, due to its low prevalence in general practice and its insidious features, prodromal schizophrenia often remains unnoticed. AIM To test whether a ...

This paper proposes a neural network-based process fault diagnosis system with Andrews plot for information pre-processing to enhance the performance of online diagnosis. By using features extracted from as inputs network, classifier, speed and reliability are improved. A method determining important in function is proposed. The proposed applied simulated continuous stirred tank reactor compare...

Strong background noise and complicated interfering signatures when implementing vibration-based monitoring make it difficult to extract the weak diagnostic features due to incipient faults in a multistage gearbox. This can be more challenging when multiple faults coexist. This paper proposes an effective approach to extract multi-fault features of a wind turbine gearbox based on an integration...

Induction motor especially three phase induction motor plays vital role in the industry due to their advantages over other electrical motors. Therefore, there is a strong demand for their reliable and safe operation. If any fault and failures occur in the motor it can lead to excessive downtimes and generate great losses in terms of revenue and maintenance. Therefore, an early fault detection i...

Proactive programs as condition monitoring justify the most extreme demands of plastic industry as safety, reliability and cost-competitiveness with other ones. It is a less expensive and precautionary way, rather than the reactive one. Condition monitoring program is utilizing different emerging technologies for better results. The aim of this practical research work, carried out on a plastic ...

This paper presents a robust fault diagnosis scheme for abrupt and incipient faults in nonlinear uncertain dynamic systems. A detection and approximation estimator is used for online health monitoring. Once a fault is detected, a bank of isolation estimators is activated for the purpose of fault isolation. A key design issue of the proposed fault isolation scheme is the adaptive residual thresh...