Power transformers provide a vital link between the generation and distribution of produced energy. Such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. This paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. Transformer monitoring and diagnosis are the effe...

overall energy efficiency (oee) is an important indicator of energy consumption in tillage operations. tillage energy was studied objectivity to accurately measure the oee of mf399-4wd tractor. the tractor was equipped with different types of sensors to measure and calibrate the required data including: fuel consumption, actual forward speed, wheel speed and slippage, engine speed, draft and dr...

An intelligent method based on wavelet neural network (WNN) is presented in this study to estimate voltage harmonic distortion waveforms at a non-monitored sensitive load. Voltage harmonics are considered as the main type of waveform distortion in the power quality approach. To detect and analyze voltage harmonics, it is not economical to install power quality monitors (PQMs) at all buses. The ...

Power quality monitoring has advanced to an important tool for system evaluation. The increased amount of recorded data requires more sophisticated analysis methods. The paper describes the development and operation of a system for automated classification of power quality events. Different to existing approaches the proposed system introduces a new frame-based event model similar to speech mod...

Diagnosing a power quality disturbance means identifying the type and cause of the disturbance. Fast diagnosis of power quality disturbances is important so as to assist network operators in performing counter measures and implementing suitable power quality mitigation actions. In this study a novel method for performing power quality diagnosis is presented by using the S-transform and rule bas...

Power quality has become an important issue in distributed generation nowadays due to the ever increasing use of power electronics and sensitive load equipment. The addition of distributed generation can have a significant effect and increases the complexity of power quality problem. Recognition of power quality problems by analyzing the voltage and current waveform disturbances is a very impor...

In this paper, the initial development stages of a power quality monitoring instrument are described. The paper is focused on new algorithms developed for real-time detection and classification of power quality disturbances. The developed algorithms aim to cover a wide range of disturbances that may occur in a power system and that may differ in their characteristics (e.g. magnitude or duration...

Power quality issues are becoming a serious concern for electrical power users considering the negative influence that these phenomena can have on the electrical equipment and the utility bill. That is why more solutions are required for measuring the power quality parameters. This paper presents a lowcost approach based on an inexpensive RISC microprocessor and frequency analysis for constant ...