Next Article in Journal
Skin Lesion Segmentation Method for Dermoscopy Images Using Artificial Bee Colony Algorithm
Next Article in Special Issue
Commutative Generalized Neutrosophic Ideals in BCK-Algebras
Previous Article in Journal / Special Issue
Neutrosophic Duplets of {Zpn,×} and {Zpq,×} and Their Properties
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Symmetry 2018, 10(8), 346; https://doi.org/10.3390/sym10080346

A Neutrosophic Set Based Fault Diagnosis Method Based on Multi-Stage Fault Template Data

School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Received: 26 July 2018 / Revised: 11 August 2018 / Accepted: 13 August 2018 / Published: 17 August 2018
Full-Text   |   PDF [1339 KB, uploaded 17 August 2018]   |  

Abstract

Fault diagnosis is an important issue in various fields and aims to detect and identify the faults of systems, products, and processes. The cause of a fault is complicated due to the uncertainty of the actual environment. Nevertheless, it is difficult to consider uncertain factors adequately with many traditional methods. In addition, the same fault may show multiple features and the same feature might be caused by different faults. In this paper, a neutrosophic set based fault diagnosis method based on multi-stage fault template data is proposed to solve this problem. For an unknown fault sample whose fault type is unknown and needs to be diagnosed, the neutrosophic set based on multi-stage fault template data is generated, and then the generated neutrosophic set is fused via the simplified neutrosophic weighted averaging (SNWA) operator. Afterwards, the fault diagnosis results can be determined by the application of defuzzification method for a defuzzying neutrosophic set. Most kinds of uncertain problems in the process of fault diagnosis, including uncertain information and inconsistent information, could be handled well with the integration of multi-stage fault template data and the neutrosophic set. Finally, the practicality and effectiveness of the proposed method are demonstrated via an illustrative example. View Full-Text
Keywords: neutrosophic set; fault diagnosis; normal distribution; defuzzification; simplified neutrosophic weighted averaging operator neutrosophic set; fault diagnosis; normal distribution; defuzzification; simplified neutrosophic weighted averaging operator
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Jiang, W.; Zhong, Y.; Deng, X. A Neutrosophic Set Based Fault Diagnosis Method Based on Multi-Stage Fault Template Data. Symmetry 2018, 10, 346.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top