scholarly journals Application of chaos and extension theory to fault diagnosis of three-phase synchronous generators

2019 ◽  
Vol 39 (3) ◽  
pp. 665-677 ◽  
Author(s):  
Shiue Der Lu ◽  
Meng Hui Wang ◽  
Shih Kai Chen
Keyword(s):  
Feature Extraction ◽  
Correlation Function ◽  
Fault Diagnosis ◽  
Chaos Theory ◽  
Synchronous Generator ◽  
Extension Theory ◽  
Measurement Circuit ◽  
Synchronous Generators ◽  
Three Phase ◽  
Normal Carbon

This study applied an extension algorithm combined with the Chaos Theory to the fault diagnosis of the three-phase synchronous generator. First, the three-phase synchronous generator is classified, including normal, carbon brush fault, three-phase unbalance, and insulation deterioration, and then by means of hardware measurement circuit and device, electrical signals are measured for each category and a chaotic error scatter map is built through the Chaos Theory to get the chaotic eye coordinates under specific fault categories. Next, the extension algorithm is used to carry out the correlation function and the normalization calculation, evaluating the type of fault to which it belongs. The analysis results show that the proposed method can effectively identify the fault types of three-phase synchronous generators and significantly reduce the amount of feature extraction data, so as to effectively detect the change of fault signals, allowing us to know the operation state of three-phase synchronous generators.

scholarly journals System Independent Fault Diagnosis for Synchronous Generator

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Jeet Gandhi ◽  
R. Gopinath ◽  
C. Santhosh Kumar
Keyword(s):  
Fault Diagnosis ◽  
Performance Improvement ◽  
Classification Accuracy ◽  
Short Circuit ◽  
Synchronous Generator ◽  
Single Step ◽  
Fault Models ◽  
Synchronous Generators ◽  
Performance Accuracy ◽  
Three Phase

Creating a unified fault diagnosis model that can detect faults across systems with different ratings (system independent fault diagnosis) would be of great interest in making condition-based maintenance (CBM) more popular. In this work, three phase synchronous generators with 3 and 5 kVA ratings are used for detecting stator inter-turn short circuit faults.Our baseline is a 3 kVA generator working at 1 A load during training and testing, to emulate the system/load dependent fault diagnosis. We obtained a classification accuracy of 99.75%, 100% and 100% for R phase, Y phase and B phase faults respectively. Subsequently, we evaluated the system for its load independent performance. Performance accuracy deteriorated due to the load specific variations (LSV) in the input feature vector (IFV). LSV is undesired, and we used nuisance attribute projection (NAP) to remove them. Using NAP, we obtained a performance improvement of 23.13%, 17.75% and 20.72% for three fault models on the 3 kVA generator and similar performance improvement was obtained for 5 kVA generator also.Further, we experimented for load and system independent fault diagnosis. In this case, we consider LSV and system specific variations (SSV) on IFV as undesired. We experimented with two types of NAP, (1) single step NAP, (2) stacked NAP. Experimental results show that the two staged stacked NAP outperforms. We obtained an improvement of 23.99%, 16.06% and 28.39%, in classification accuracy for three fault models, resulting in overall classification accuracy of 89.22%, 94.67% and 94.59% for R phase, Y phase and B phase fault models respectively.

A Comparative Analysis of Three-Phase, Multi-Phase and Dual Stator Axial Flux Permanent Magnet Synchronous Generator for Vertical Axis Wind Turbine

2013 ◽  
Vol 446-447 ◽  
pp. 709-715 ◽  
Author(s):  
M. Shahrukh Adnan Khan ◽  
Rajprasad K. Rajkumar ◽  
Rajparthiban K. Rajkumar ◽  
C.V. Aravind
Keyword(s):  
Wind Turbine ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Synchronous Generators ◽  
Permanent Magnet Synchronous Generators ◽  
Wind Turbine System ◽  
Three Phase ◽  
Multi Phase

In this paper, the performances of all the three kinds of Axial type Multi-Pole Permanent Magnet Synchronous Generators (PMSG) namely Three-phase, Multi-phase or Five Phase and Double Stator fixed in Vertical Axis Wind Turbine (VAWT) were investigated and compared in order to get an optimal system. MATLAB/Simulink had been used to model and simulate the wind turbine system together with all the three types Permanent Magnet Generators. It was observed from the result that with the increasing number of pole in both low and high wind speed, the five phase generator produced more power than the other two generators. In general, it was observed that the responses of the Multi-phase generator at both high and low speed wind showed promising aspect towards the system followed by Dual Stator. But with the change of the variables such as wind velocity, turbine height, radius, area together with the generator pole pairs and stator resistance, the optimum system should be chosen by considering the trade-off between different configurations which were firmly analyzed and described in this paper.

scholarly journals ANALYSIS OF OVERVOLTAGE POSSIBILITY ON THE EXCITATION WINDING OF A SYNCHRONOUS GENERATOR OF AUTONOMOUS POWER SUPPLY SYSTEM IN CASE OF EXTERNAL SYMMETRICAL SHORT CIRCUIT

2021 ◽  
pp. 112-115
Author(s):  
V.B. Beliy ◽  
Keyword(s):  
Power Systems ◽  
Power Supply ◽  
Short Circuit ◽  
Electric Energy ◽  
Synchronous Generator ◽  
Synchronous Generators ◽  
Excitation System ◽  
Three Phase ◽  
Short Circuits ◽  
Analytical Expressions

Reliable supply of consumers with electric energy largely depends on the reliability of power source function-ing. In the context of this paper it depends on synchronous generators operating in autonomous power supply sys-tems. In contrast to the power plant generators which are part of power systems and are protected from the loads by sufficiently large resistances, power supply systems withautonomous generators are characterized by rather low resistances. Abrupt changes in the supply load parameters, their own transient and emergency modes, for example, short circuits at the generator terminals, forcing excitation, etc. may lead to various failures in the synchronous gener-ator operation. This paper discusses the possibility of over-voltage in the valve excitation system of a synchronous generator with external three-phase short circuits. On the basis of analytical expressions describing the physical pro-cesses occurring in the excitation system of synchronous generators, the conditions for the occurrence of overvolt-ages are identified

Fault Diagnosis Method for Rectifier Circuit Based on Self-Organizing Map

2013 ◽  
Vol 321-324 ◽  
pp. 1930-1933 ◽  
Author(s):  
Run Xia Shen ◽  
Yi Min Lu ◽  
Qian Qian Liang
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
Self Organizing Map ◽  
Rectifier Circuit ◽  
Three Phase ◽  
Bridge Rectifier ◽  
Diagnosis Method ◽  
Fault Feature Extraction ◽  
Relevant Experiment ◽  
Self Organizing

Fault feature extraction and recognition play crucial role in fault diagnosis. In this paper, a fault diagnosis method for three-phase fully-controlled bridge rectifier circuit based on Self-Organizing Map network is proposed. The method utilized the three phase AC input current as fault detection data. Then, perform spectrum analysis with the FFT, the fault data is trained through a Self-Organizing Map network for diagnosis. Simulation and relevant experiment verifying the proposed algorithm can classify various types of power electronics device faults accurately and rapidly.

Method for Illconditioned Parameter Estimation Application in Synchronous Generators

2013 ◽  
Vol 448-453 ◽  
pp. 2616-2625
Author(s):  
Farshad Gholami Nejad Moghadam ◽  
Navid Taghizadegan ◽  
Haghi Pour Meraj
Keyword(s):  
Parameter Estimation ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Synchronous Generator ◽  
Broad Sense ◽  
Synchronous Generators ◽  
Maintenance Schedule ◽  
Desirable Feature ◽  
Proper Operation

Fault detection, isolation, and fault diagnosis for a synchronous generator is a desirable feature that could aid in better monitoring and automation of the machine behavior, and could have a significant impact in establishing an adequate maintenance schedule that ensures proper operation while taking into consideration cost and risk of having a large generator and its maintenance. This work looks in parameter estimation’s algorithm methods those can used in fault detection, isolation and diagnosis. In a broad sense, a fault is understood as any kind of anomaly or malfunction that leads to an undesired performance of the system under consideration.

Electromagnetic Induced Force Study in the Magnetoelectric Generator Winding

2015 ◽  
Vol 792 ◽  
pp. 3-7
Author(s):  
Aleksandr Tatevosyan ◽  
Andrey Tatevosyan ◽  
Valeriya Fokina
Keyword(s):  
Decision Making ◽  
Permanent Magnets ◽  
Frequency Converter ◽  
Induction Machine ◽  
Synchronous Generator ◽  
Load Resistance ◽  
Electrical Network ◽  
Synchronous Generators ◽  
Three Phase ◽  
Theoretical Foundations

The paper considers the study of the electromagnetic force (EMF) of a synchronous generator based on the three-phase induction machine. The stand includes: a frequency converter, an induction motor, a synchronous generator, a three-phase rectifier, an active load resistance, power protection and inclusion industrial electrical network. The study provides an analytical solution to one of the main objectives within theoretical foundations of electrical engineering, formulated so to reflect the decision making while designing new types of synchronous generators with permanent magnets.

scholarly journals Smart Fault-Tolerant Control System Based on Chaos Theory and Extension Theory for Locating Faults in a Three-Level T-Type Inverter

2019 ◽  
Vol 9 (15) ◽  
pp. 3071 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Long-Yi Chang ◽  
Fu-Qiang Xu
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Chaotic System ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Extension Theory ◽  
Power Transistor ◽  
Three Phase ◽  
Power Switches ◽  
Lorenz Chaotic System

This study proposes a smart fault-tolerant control system based on the theory of Lorenz chaotic system and extension theory for locating faults and executing tolerant control in a three-level T-type inverter. First, the system constantly monitors the fault states of the 12 power transistor switches of the three-level T-type inverter; if a power transistor fails, the corresponding output phase voltage waveform is converted by a Lorenz chaotic system. Chaos eye coordinates are then extracted from a scatter diagram of chaotic dynamic states and considered as fault characteristics. The system then executes fault diagnosis based on extension theory. The fault characteristic value is used as the input signal for correlation analysis; thus, the faulty power transistor can be located and the fault diagnosis can be achieved for the inverter. The fault-tolerant control system can maintain the three-phase balanced output of the three-level T-type inverter, thereby improving the reliability of the motor drive system. The feasibility of the proposed smart fault-tolerant control system was assessed by conducting simulations in this study, and the results verified its feasibility. Accordingly, after the occurrence of the fault in power switches, the balanced three-phase output line voltage remained unchanged, and the quality of the output voltage was not reduced by using the integration of the proposed fault diagnosis system and fault-tolerant control system for a three-level T-type Inverter.

Sign in / Sign up

Export Citation Format

Share Document