The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes an improved method of fault diagnosis for power electronic circuits with multiple discrete events. The proposed method is based on the mixed logic dynamic (MLD) model and the fault events identification. On one hand, the establishment of the MLD model effectively describes the character of condition transition and control transition in the circuits, and improves the accuracy of...
In industrial glutamate fermentation by biotin-auxotroph Corynebacterium glutamicum, biotin content variation in corn slurry greatly affects fermentation performance. To maintain the fermentation stability, a hybrid support vector machine (SVM) and fuzzy reasoning based fault diagnosis and rescue system was developed. The system uses SVM outputs as the inputs of the fuzzy reasoning classifier having...
In this paper, a new fault diagnosis approach in large scale power grid based on Bayesian network and MCMC method is proposed for large scale power grid. Tow models of Bayesian network for constructing the Bayesian network of power grid are established. The main idea for Bayesian network approach is to compute the posterior probabilities of the fault nodes of the Bayesian network in MCMC method so...
The power systems become more and more complex for the tendency to be interconnected and large scale. It is very important to detect symptom in the early of large scale blackouts and take necessary precaution measures. The analysis and control of complicated systems can not be completely solved by only mathematic tools or knowledge-based method for the reason that power systems are typical hybrid...
In this paper a novel power system alarm processing and fault diagnosis expert system (AFDES) is presented. For the application of expert system (ES), there is a bottle-neck problem to obtain a maturing rule-base. Backus-Naur Form (BNF) is used to design a kind of expert rule frame which operator can write and add the rules with his own defining language to rule-base in ES. By this way a maturing...
Blackouts caused by accidents can not be avoided completely while power grid is becoming larger and more complex. So how to analysis faults and find out the reason and the location as fast as possible, then take exact measures to reduce outage scope and duration, is a very important issue. Local alarm processing and fault diagnosis system can deal with local faults with local information. But there...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.