Fault Diagnosis and Fault-Tolerant SVPWM Technique of Six-phase Converter under Open-Switch Fault

Investigating Direct Torque Control of Six-Phase Induction Machines Under Open Phase Fault Conditions

This paper presents analysis and evaluation of classical direct torque control(DTC), for controlling a symmetrical six phase induction motor (SPIM) under open phasefault conditions. The machine has two three-phase windings spatially shifted by 60 electricaldegrees. The strategy of the proposed method consists of choosing the switching modesaccording to the configuration of living phases in such...

Fault Diagnosis and Fault-tolerant Control

Diagnosis and Fault - Tolerant

Overview of Fault Detection Security and reliability are of great importance in control system technology. To ensure a reasonable level of security and reliability, the need for failure detection (diagnosis) techniques has long been recognized. Roughly speaking, a failure is any kind of malfunction of the system that leads to unacceptable performance. Failure detection consists of techniques fo...

A generalized ABFT technique using a fault tolerant neural network

In this paper we first show that standard BP algorithm cannot yeild to a uniform information distribution over the neural network architecture. A measure of sensitivity is defined to evaluate fault tolerance of neural network and then we show that the sensitivity of a link is closely related to the amount of information passes through it. Based on this assumption, we prove that the distribu...

A New Design of Fault Tolerant Comparator

In this paper we have presented a new design of fault tolerant comparator with a fault free hot spare. The aim of this design is to achieve a low overhead of time and area in fault tolerant comparators. We have used hot standby technique to normal operation of the system without interrupting and dynamic recovery method in fault detection and correction. The circuit is divided to smaller modules...

Fault Diagnosis and Fault Tolerant Control Using Reduced Order Models

The present work considers a model reduction approach for fault diagnosis with generalised likelihood ratio (GLR) method to improve upon its diagnostic performance and computational efficiency in large dimensional applications. Model reduction techniques are widely used in controller design. A similar concept with balanced truncation technique is employed to obtain a reduced order diagnostic mo...