Use of Fuzzy Logic Systems for Assessment of Primary Faults

Petrović, Ivica; Józsa, Lajos; Baus, Zoran

doi:10.2478/jee-2015-0042

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln. Ivica Petrović et al [42] presented an overview of possibilities for using fuzzy logic in an assessment of primary faults in the transmission grid. The tool for this task is SCADA system, which is based on information of currents, voltages, events of protection devices and status of circuit breakers in the grid.…”

Section: Artificial Intelligence Techniques Employed In Comademmentioning

confidence: 99%

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

Rao¹

2021

AJAI

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Artificial Intelligence (AI) is playing a dominant role in the 21 st century. Organizations have more data than ever, so it's crucial to ensure that the analytics team should differentiate between Interesting Data and Useful Data. Amongst the important aspects in Machine Learning are "Feature Selection" and "Feature Extraction". We are now witnessing the emerging fourth industrial revolution and a considerable number of evolutionary changes in machine learning methodologies to achieve operational excellence in operating and maintaining the industrial assets efficiently, reliably, safely and cost-effectively. AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems), machine learning, biomimicry such as swarm intelligence and distributed intelligence. are widely used by multi-disciplinarians to solve a whole range of hitherto intractable problems associated with the proactive maintenance management of industrial assets. In this paper, an attempt is made to review the role of artificial intelligence in condition monitoring and diagnostic engineering management of modern engineering assets. The paper also highlights that unethical and immoral misuse of AI is dangerous.

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Section: Artificial Intelligence Techniques Employed In Comademmentioning

confidence: 99%

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

Rao¹

2021

AJAI

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“…A review of related works on the control of three-phase induction motors discovered a number of procedures, such as: multilevel control [31,32]; variable frequency control [33,34]; direct torque control [35]; fuzzy logic control [36]; sensorless control [37]; sensor-based control [38]; and other available control techniques. Figure 3 presents the design concept of the control of the induction motor using wireless technology.…”

Section: Satellite Networkmentioning

confidence: 99%

Design and Construction of a 3-Phase Induction Motor Wireless Control System

Owusu¹,

Amuzuvi²

2020

JEEE

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Infrared (IR) wireless transmission technology has proven to be reliable in electric motor control. The existing control schemes for electric motors require the operator to be at the location of the motors or resort to the use of wired controls. Wired motor controls can fail due to objects falling on them and accidental disconnections. Also, voltage drops in the control wires are wasted in generating heat and increase the cost of electricity tariffs. Further, there is increase in labour cost and installation of wired motor control. Additionally, there are slips, trips and fall hazards associated with control trailing wires. In this research, a wireless control system for a three-phase, 415 V, 50 Hz, squirrel-cage induction motor is designed, simulated and implemented. The issues of voltage drop in control wires is minimised because of the reduced wires involved with this control scheme, thereby improving on the motor efficiency. The transmitter transmits IR signal to the receiver. There is a phototransistor in the receiver that receives the IR signal, amplifies it and decodes it with the help of a microcontroller. The output from the microcontroller is used to regulate auto-transformers to control the three-phase voltage to the motor. The designed system can wirelessly start, stop and change the speeds of induction motor for three successive speed levels. The receiver senses signal from the transmitter within a distance of 9 m. The system is designed to switch the motor into standby mode and then proceed to speeds one, two, three and then finally stop the motor. The developed infrared-based wireless transceiver can be adopted to control a three-phase, 415 V, 50 Hz, squirrel-cage induction motor at remote and inaccessible areas such as water treatment and three-phase separation plants.

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“…In a large number of scientific papers, the problem of determining the location of fault in transmission networks (Lee et al, 2000), the characteristics of these networks, their protection and automation (Yongli et al, 1994;Vachtsevanos 2006) are being discussed. Problems of allocation and correlation of the lightning strike location and the failure of a network element as an event of a fault in the network are not adequately researched (Hsu et al, 1991;Saha et al, 2010;Petrović et al, 2015). This article presents problems related to determining the location of a lightning strike and the failure of a network element as an event of a fault in the network (Meza et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

The Efficiency Improvement of a Permanent Magnet Synchronous Machine Drive

Plantić¹,

Marčič²,

Štumberger³

2019

7th Symposium on Applied Electromagnetics SAEM`18: Conference Proceedings

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The International Symposium on Applied Electromagnetics is aimed at the presentation of research work results in various areas of Applied Electromagnetics. The Symposium is devoted to exchanging ideas, presenting achievements and results, providing the forum for researchers and academics. Open and friendly atmosphere, which our conferences are known for, encourages especially young researchers to present their achievements and ideas, even at an early stage of their research work. The Symposium continues the tradition of joint conferences, organised in previous years by the organisers from Macedonia, Poland, Slovenia and Hungary. The symposium is open for participants from all over the world. This year's symposium took place between 17th and 20th June 2018 in Podčetrtek, Slovenia.We would like to thank all the participants for their participation at the International Symposium on Applied Electromagnetics and wish them a successful academic career.

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Use of Fuzzy Logic Systems for Assessment of Primary Faults

Cited by 8 publications

References 14 publications

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

Design and Construction of a 3-Phase Induction Motor Wireless Control System

The Efficiency Improvement of a Permanent Magnet Synchronous Machine Drive

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