Automatic zero sequence fault monitoring and diagnosis analysis

Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.

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A New Hybrid "Park's Vector - Time Synchronous Averaging" Approach to the Induction Motor-fault Monitoring and Diagnosis

Journal of Electrical Engineering and Technology ◽

10.5370/jeet.2014.9.2.559 ◽

2014 ◽

Vol 9 (2) ◽

pp. 559-568 ◽

Cited By ~ 2

Author(s):

Nabil Ngote ◽

Said Guedira ◽

Mohamed Cherkaoui ◽

Mohammed Ouassaid

Keyword(s):

Induction Motor ◽

Monitoring And Diagnosis ◽

Fault Monitoring

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Intelligent Systems in aerospace

The Knowledge Engineering Review ◽

10.1017/s0269888900005385 ◽

1990 ◽

Vol 5 (3) ◽

pp. 147-166 ◽

Cited By ~ 2

Author(s):

Moonis Ali

Keyword(s):

Artificial Intelligence ◽

Intelligent Systems ◽

Planning And Scheduling ◽

Monitoring And Diagnosis ◽

Aerospace Applications ◽

Fault Monitoring ◽

Aerospace Systems ◽

Operations And Maintenance ◽

And Control ◽

And Robotics

AbstractAn overview of research in the areas of aerospace applications of artificial intelligence, expert Systems, neural networks and robotics is presented. Challenges associated with aerospace projects require increasingly complex aerospace Systems which in turn demand automation and fault tolerance. We have addressed these issues and provided a survey of the research on intelligent Systems that has been carried out in an attempt to meet these challenges. The application areas we have overviewed include fault monitoring and diagnosis, generation and management of power in space, efficient and effective command and control, operations and maintenance of space stations, planning and scheduling, automation, and cockpit management.

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