Increasing chip density combined with heightened reliability expectations has spawned greater interest in fault tolerant design. In recent years, research into rollback and retry techniques has established them as an e ective approach to recovery from transient and intermittent faults. For applications with strict timing requirements, however, the high error latency inherent in retry approaches...

This paper deals with fault tolerant multiphase electrical drives. The quality of the torque of vector-controlled Permanent Magnet (PM) Synchronous Machine supplied by a multi-leg Voltage Source Inverter (VSI) is examined in normal operation and when one or two phases are open-circuited. It is then deduced that a seven-phase machine is a good compromise allowing high torque-to-volume density an...

Density modeling is a machine learning task with the goal of an underlying probability distribution from samples. Here authors show that, when solving certain density problems, algorithms that use fault-tolerant quantum computers have advantage over classical ones.

This paper introduces a new fault tolerant interconnection topology called the Extended crossed cube (ECC). The proposed topology is hierarchical, expansive and recursive in nature. It has reduced diameter, average distance and constant degree of nodes. The paper illustrates various other properties of the proposed system, such as fault-tolerance, reliability, message traffic density, cost, cos...

This paper presents a generalized d-q model of nphase induction motor drive. Multi -phase (n-phase) induction motor (more than three phases) drives possess several advantages over conventional three-phase drives, such as reduced current/phase without increasing voltage/phase, lower torque pulsation, higher torque density, fault tolerance, stability, high efficiency and lower current ripple. Whe...

Micro-earthquake activity is reported for the first 6 months of 2011 in Long Beach, CA using a density urban exploration seismic network. Detected events include at least four times as many man-made events as possible real earthquakes indicated by repeated locations, and distinct patterns in the hour-of-day and day-of-week origin times. Some discrimination appears possible utilized the earthqua...

This paper focuses on Optimal Experimental Design to train a Projection Pursuit Regression (PPR) model used for fault detection. A novel experimental design method, referred to as Gaussian Probability Design, is proposed and compared with the conventional Factorial Design. The Gaussian Probability Design automatically searches for the sparseness of the data, and adds pairs of training data on b...