The occurrence of mechanical failure caused great loss of life and property, the purpose of this paper is to use SVM method to determine the type of mechanical failure, so as to simplify the maintenance process of large equipment. In this paper, we use the nonlinear method of SVM high dimensional space to detect and diagnose the fault. A function is established by using the relationship between...

For high-speed networks, it is important that fault management be proactive–i.e., detect, diagnose, and mitigate problems before they result in severe degradation of network performance. Proactive fault management depends on monitoring the network to obtain the data on which to base manager decisions. However, monitoring introduces additional overhead that may itself degrade network performance...

Over the last 50 years advances in technology have led to an increase in the complexity and sophistication of systems. More complex systems can be harder to maintain and the root cause of a fault more difficult to isolate. Down-time resulting from a system failure can be dangerous or expensive depending on the type of system. In aircraft systems the ability to quickly diagnose the causes of a f...

Wireless Mesh Network (WMN) provides a cheaper option for backhauls that can be leveraged to provide low-cost access services. Compared to conventional wireless LANs, the benefits of a WMN include greater range because of packet relaying and higher throughput because of shorter hops. A WMN, however, may be subject to a variety of faults that are hard to diagnose manually. In this paper we discu...

This paper deals with the application of state space neural network models to fault detection and accommodation of the boiler unit. The work describes two aspects. First one is the fault detection and in this paper to diagnose the fault the three methods are described and compared: simple and adaptive threshold and more robust method which is model error modelling. The second part of the paper ...

A novel algorithm based on Genetic approach for diagnosing Bridging faults, Transitional Delay faults and stuck at faults in LSI circuits is presented. The method of devising a universal set for detecting Bridging faults in testable circuits is investigated. We outline a method that utilizes the information from the stuck-at fault model to accurately diagnose the bridging faults that affect two...

In this paper, a CMAC (cerebellar model articulation controller) neural network application on fault diagnosis for water circulation system is proposed. Firstly, we build a CMAC neural network based diagnosis system depending on the fault types. Secondly, the fault patterns, obtained from the China scholar’s technical data, would be employed to train the CMAC neural network off-line. Thirdly, t...

To gain a thorough understanding of the fault mechanisms in SLS machines, we decompose SLS proole signals into independent features using a novel tool called Karhunen-Lo eve (KL) transform. These individual features can then be studied separately to monitor the occurrence of fault patterns on manufactured parts and determine their nature. Analytical signals with known fault patterns, simulating...

In this paper, we propose a method to solve the network fault diagnosis problem using the realistic abductive reasoning model. This model uses abductive inference mechanism based on the parsimonious covering theory and adds some new features to the general model of diagnostic problem solving. The network fault diagnosis knowledge is assumed to be represented in the form of causal chaining, name...