The monitoring of turbine in operation condition and fault diagnosis system in power plant is the key to guarantee the units long-term security and economic operation. The turbine faults were determined by a variety of factors, which brought many difficulties to the fault diagnosis. In general condition, using the RBF neural network can make the turbine fault diagnosis right. However, in some t...

This paper presents a method for diagnosis of eccentricity fault in a switched-reluctance motor (SRM) during offline and standstill modes. In this method, the fault signature is differential induced voltage (DIV) achieved by injecting diagnostic pulses to the motor windings. It will be demonstrated by means of results that there is a correlation between differential induced voltage and eccentri...

this paper presents the hardware simulation (based on vhdl code) of a multiple-fault tolerant cellular genetic algorithm. this study aims to increase the immunity of cellular genetic algorithm in multiple-fault situation. here, multiple-fault refers to the situation that seu (single event upset) occurs simultaneously at two or more bits of the chromosome and fitness registers. the fault model i...

the paper presents a mathematical base modeling combined to modified-winding -function-approach (mwfa) for eccentricity fault detection of a round-rotor synchronous machine. for this aim, a 6-pole machine is considered, and the machine inductances are computed by mwfa in healthy and also under eccentricity fault. a numerical discrete-time method has been proposed to machine modeling in voltage-...

To the Editor: Our thanks are due to Kheterpal et al. 1 for another valuable addition to our understanding of airway management during anesthesia. Their work suggests that provided we exclude the patients with obvious abnormalities, we will find that the incidence of the combination of difficult mask ventilation (DMV) and difficult laryngoscopy (DL) is infrequent but not rare (0.4%), and the ou...

different methods for detecting broken bars in induction motors can be found in literature. many of these methods are based on evaluating special frequency magnitudes in machine signals spectrums. current, power, flux, etc are among these signals. frequencies related to broken rotor fault depend on slip. in industrial environment due to some phenomena - such as load oscillation, other faults an...

a new fault tolerant controller (ftc) has been presented in this research by integrating a fault detection and diagnosis (fdd) mechanism in a nonlinear model predictive controller framework. the proposed fdd utilizes a multi-sensor data fusion (msdf) methodology to enhance its reliability and estimation accuracy. an augmented state-vector model is developed to incorporate the occurred sensor fa...

This paper presents a novel fault location method for series compensated transmission lines. It is established based on synchronized voltages sampling and Thevenin impedance from both ends of series compensated transmission line. The method is based on the use of phasor measurement units (PMU) technology which is aimed to be independent of current measurements, fault type, fault resistance, fau...

iran is one the most tectonically active parts of the world and regularly experiences earthquakes of both low and high magnitude. therefore, earthquake hazard assessment before any kind of building construction and for already built and populated area is essential. a vital first step in this type of study is to identify, map, and determine the activity of faults within a given region. investiga...