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Reconfiguration process is very important in terms of efficiency in photovoltaic (PV) arrays under especially in partial shading conditions. Although there are some studies for reconfiguration process in the literature, they are difficult and complex. In this study, full or partial shading effects on arrays are examined and presented for reconfiguration of PV arrays. System performance is intended...
A pantograph-catenary system transmits the electric energy that an electrified train needs from electric power substation to train. Pantograph catenary system is extremely important in order to carry out continuous of the transmission. In this study, a model and image processing based arc detection system is proposed. Arcs occurred in a video frame are detected by using image processing techniques...
In this study, a model based approach is proposed for the recognition of the pantograph type used in electric trains. The shape of the pantograph-catenary changes according to usage conditions of electric trains. A geometric model of the pantograph is constructed by using images taken from the pantograph-catenary system. The pantograph type is determined by using the constructed model. First, all...
With the increasing of the train speeds in railway transport, the safety and early detection of any anomaly becomes an important issue. This paper analyzes the contact point between pantograph and catenary by using particle swarm based tracking. The position of contact wire is tracked along all frames. The obtained tracked signal is analyzed by S-transform and the pantograph condition is detected...
This study presents a robust condition monitoring and anomaly detection for pantograph-catenary system. The pantograph overhead system is monitored by using a digital camera. A general framework for anomaly detection for pantograph-catenary system consists of two key components. The first component is based on mean-shift tracking of contact wire. Therefore, the contact point between pantograph and...
Type-2 fuzzy logic systems are the systems that use the three dimensional fuzzy membership functions in order to minimize the effects of the indefiniteness not modelled by type-1 fuzzy systems. However, in type-2 fuzzy systems, the complexity in terms of calculation is much higher compared to type-1 fuzzy systems. Particularly the defuzzification stage of type-2 fuzzy systems is a complex calculation...
This paper presents a new fault diagnosis approach based on boundary analysis of phase space. The proposed approach requires the measurement of one phase current signal to construct the phase space representation. Each phase space is converted to an image and the boundary of each image is extracted by boundary detection algorithm, helping to construct a characteristic image for each motor condition...
Railway vehicles have become a modern transport media day by day. With the development of high-speed trains, this transportation way has been widely used for the transportation of people and cargo. However, several fault type in the pantograph-catenary system affects the performance of the train. Contact between a pantograph and catenary must slide along train movement. A sufficient lifting force...
Unmanned air vehicles has recently become applications that are being increasingly used in both unmilitary and military areas and that are popular fields of research. The quadrotor type among the unmanned air vehicles, which come in different types, sizes and models depending on their area of use, come into prominence with several advantages it offers. This study performs the modeling, simulation,...
The development of a monitoring system for critical components is rather important to accurately detect different defects in incipient stage. Induction motors are the workhorses of many industrial systems. Fault occurred in this motor has severe effects such as cost, safety, and production disruption. In this study, a wireless sensor network-based fault diagnosis system is proposed for bearing and...
By the improvement of the technology, the applications used for simplifying the daily life create an important work area day after day. In this study, an equipment control component that could be used as intelligence home application based on voice recognition was improved. By this aim, database belonging to intended control voices like turn on the lamp, close the curtain was created by pre-processing...
Given the structure of urbanization, the use of elevator has become a necessity. The increase of population density in buildings in parallel to the structure of urbanization has led to the emergence of a group controlled elevator systems. In general, the group elevator system is intended to reduce the average waiting time of passengers and provide energy efficiency. For these purposes, in this study,...
Railway transport is one of the most important mass transportation media in the worldwide. With the development of trains speed, safety and comfort levels of railways is getting more importance day by day. Besides high level of security requirement, detection of anomaly for rail and road shall be early identified for decreasing operation and maintenance expenditures. The pantograph-catenary system...
Rail identification and measurement is very important for safety, comfort and maintenance. Therefore, rail profile diagnosis system can be used to determine faults in railways. This paper presents and validates a fuzzy diagnosis method based on image processing. The proposed approach builds an evaluation and integration between images obtained from camera and depth data measured with laser meter....
In vector control of asynchronous motors, using voltage model for flux estimation ensures many advantages as regarding. Accuracy of estimation of stator fluxes is important in this model. Some inaccuracies occur due to uncertainty of parameters and measurement errors in the flux estimation. Grey systems theory provides simplistic methods for systems containing uncertainty. In this paper, the flux...
This paper presents an artificial immune system based classification rules generation for fault diagnosis of induction motors. To implement the proposed method effectively, a feature extraction and fuzzificiation processes are used for choosing fault-related attributes from motor current signals. The idea behind the method is mainly based on both concepts of data mining and artificial immune system...
Type-2 fuzzy sets minimize the effects of uncertainties that cannot be modeled using type-1 fuzzy sets. However, the computational complexity of the type-2 fuzzy sets is very large and it is more difficult to use and understand than are type-1 fuzzy sets. This paper proposes sine-square embedded fuzzy sets and gives a comparison with type-2 and nonstationary fuzzy sets. The sine-square embedded fuzzy...
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