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Research Paper | Computer Science & Engineering | Mexico | Volume 7 Issue 7, July 2018
Modeling a Fuzzy Inference System for a Wind Turbine Condition Monitoring
O. Montserrat Reyes | P. Malaquias Quintero | Pablo H. Ibarguengoytia
Abstract: Condition monitoring systems have been used to determine the need for equipment maintenance and successful results have been achieved, however, these systems in combination with fuzzy logic have not been sufficiently explored, and one area of application is wind turbines. In this paper, the state of the art of wind turbine condition monitoring is briefly reviewed and it is proposed to use fuzzy logic for the diagnosis of wind turbine condition, in order to detect the abnormal behavior of the signals through a system of fuzzy inference that can be used as a fundamental element in the diagnosis of turbine condition. The system is based on data from a Komai wind turbine whose specifications were used to model the system. The results of the tests indicate that this system can be used to represent human knowledge and the diagnosis is reliable.
Keywords: Fuzzy logic, condition monitoring, wind turbine
Edition: Volume 7 Issue 7, July 2018,
Pages: 1371 - 1376
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 1838 - 1842Predicting and Extending of Sensor Lifetime in Wireless Sensor Networks using Fuzzy Logic
Pawan Kumar [34] | Manoj Challa [2]
Downloads: 101
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 1525 - 1529Blowfish Algorithm by Modify Randomness for S-Boxes using Fuzzy Value and Apply Encryption or Decryption on Image
Maulik P. Chaudhari | Neha Parmar