A fault diagnosis system based on pattern recognition techniques is developed for cage induction machine broken bar detection. The developed algorithm uses the stator current and, if available, motor speed as input data. Several features are extracted from the Frequency spectrum of the current signal derived using the Fast Fourier Transform. The relevance of the features for the purpose of faul...

Intelligent machine health monitoring and fault diagnosis are becoming increasingly important for modern manufacturing industries. Current fault diagnosis approaches mostly depend on expert-designed features for building prediction models. In this paper, we proposed IDSCNN, a novel bearing fault diagnosis algorithm based on ensemble deep convolutional neural networks and an improved Dempster-Sh...

We survey scheduling algorithms proposed for tolerating permanent and transient failures in real-time embedded systems. These algorithms attempt to provide low-cost solutions to fault tolerance, graceful performance degradation, and load shedding in such systems by exploiting tradeoffs between space and/or time redundancy, timing accuracy, and quality of service. We place fault-tolerant schedul...

The structural redundancy inherent to Networks-on-Chip (NoCs) can be employed by routing algorithms in order to provide connectivity even if network components are out of service due to faults, which will appear at an increasing rate with future chip technology nodes. We present a fine-grained functional fault model and a corresponding distributed fault diagnosis method that enable us to determ...

Broken rotor bars in induction motors can be detected by monitoring any abnormality of the spectrum amplitudes at certain frequencies in the motor current spectrum. Broken rotor bar fault detection schemes should rely on multiple signatures in order to overcome or reduce the effect of any misinterpretation of the signatures that are obscured by factors such as measurement noises and different l...

The problem of fault tolerance in cooperative manipulators rigidly connected to an undeformable load is addressed in this paper. Four categories of faults are considered: free-swinging joint faults (FSJFs), locked joint faults (LJFs), incorrectly measured joint position faults (JPFs), and incorrectly measured joint velocity faults (JVFs). Free-swinging and locked joint faults are detected via a...

We propose a two-phase methodology for quantifying the performability (performance + availability) of cluster-based Internet services. In the first phase, evaluators use a fault-injection infrastructure to measure the impact of faults on the server’s performance. In the second phase, evaluators use an analytical model to combine an expected fault load with measurements from the first phase to a...

The proposal lateral load pattern for pushover analysis is given in two forms for symmetric concrete buildings: 1-(X/H)0.5 for low-rise and mid-rise buildings, 2- Sin(ΠX/H) for high-rise buildings. These two forms give more realistic results as compared to conventional load patterns such as triangular and uniform load patterns. The assumed buildings of 4, 8, 12, 16, 20 and 30 story concrete bui...

Proliferation of large and complex fault-tolerant distributed systems in recent years has stimulated the combined modelling of performance and dependability of such systems. For large systems it may be very expensive to compute valid performance estimates to be used in the combined performability measures. This work considers two different classes of fault-tolerant client-server systems, in whi...

This paper presents an intelligent fault detection based on adaptive continuous wavelet transform of broken rotor bars for Induction Motor (IM). Broken rotor bars, bearing decay, eccentricity, as motor faults appears as different frequencies in the stator current signals. The stator current and speed signals at deferent operation conditions obtained from the winding function are analysed throug...