considering that once-through benson boiler is one of the most crucial equipment of a thermal power plant, occurrence of any fault in its different parts can lead to decrease of the performance of system, and even may cause system damage and endanger the human life. in this paper, due to the high complexity of the system's dynamic equations, we utilized data-based method for diagnosing the faul...

Fault diagnosis of composite asynchronous sequential machines with parallel composition is addressed in this paper. An adversarial input can infiltrate one of two submachines comprising the composite asynchronous machine, causing an unauthorized state transition. The objective is to characterize the condition under which the controller can diagnose any fault occurrence. Two control configuratio...

One of the problems in fault diagnosis of transformer based on dissolved gas, is lack of matching the result of fault diagnosis of different standards with the real world. In this paper, the result of the different standards is analyzed using fuzzy and the result is compared with the empirical test. The comparison between the suggested method and existing methods indicate the capability of the ...

A strategy of fault diagnosis and tolerance for asynchronous sequential machines is discussed in this paper. With no synchronizing clock, it is difficult to diagnose an occurrence of permanent or stuck-in faults in the operation of asynchronous machines. In this paper, we present a fault detector comprised of a timer and a set of static functions to determine the occurrence of faults. In order ...

It is very much required to detect and diagnose fault of machine in process industry. It will help to maintenance of machine. There are many output parameters which directly affects due to fault. It can be any form like waves, numerical values etc. It is possible to achieve this by artificial intelligence methods. The methods like artificial neural network (ANN), fuzzy logic or may be hybrid mo...

Fault diagnosis systems (FDSs) are tools designed to detect, isolate, identify, and, possibly, mitigate the occurrence of faults affecting complex systems. This paper aims to use fuzzy logic fault diagnosis for clustering the faults. Fuzzy logic system has an advantage of inbuilt cluster identification which doesn’t supported by any other FDSs. By this inbuilt clustering the identification of f...

background : stage at diagnosis is one of the most important prognostic factors for most of the cancers like breast cancer. studies have found that the rate of late-stage diagnosis of breast cancer among women with lower socioeconomic status is more than the others. the aim of this study was investigating the relationship between family levels of socioeconomic status and stage at diagnosis of b...

Transformer is the main important equipment in electrical power system. Early stage detection of the transformer faults has great economic significance because it considered expensive equipment and it helps to maintain the continuous operation of the electrical power system. Transformer oil is used for two main purposes, one for insulating liquid and the other for cooling. Some physicalchemical...

The objective is to develop a fault diagnose scheme for MOSFET’s open switch faults for PWM voltage source inverter (PWM-VSI) motor drives. Here system monitors line to line voltage as well as switching signals nevertheless the triggering time of MOSFET, under both healthy and faulty conditions. So the measurement of line to line voltage is taken which gives the information about switching stat...

For the special working environment and conveyor as diagnostic object, this paper proposed a new fault diagnosis method based on ontology to diagnose the fault of conveyor as follows: stalling, drifting and damage. The experiment results show that: the proposed fault diagnosis method avoids the weakness of former methods, could diagnose all kinds of fault phenomenon and different fault causes. ...