Study on gas turbine engine fault diagnostic approach with a hybrid of gray relation theory and gas-path analysis

Ying, Yulong; Cao, Yunpeng; Li, Shuying; Li, Jingchao; Guo, Jian

doi:10.1177/1687814015627769

Cited by 58 publications

(36 citation statements)

References 25 publications

(45 reference statements)

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“…So as to enhance its tolerance to measurement noise and the ability to assist the selection of characteristic values for fault classification, the information theory was introduced into the calculation of the relation degree and that is so-called adaptive gray relation algorithm (GRA) [33]. …”

Section: Gray Relation Theorymentioning

confidence: 99%

A Rolling Element Bearing Fault Diagnosis Approach Based on Multifractal Theory and Gray Relation Theory

Cao

Ying

et al. 2016

PLoS ONE

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Bearing failure is one of the dominant causes of failure and breakdowns in rotating machinery, leading to huge economic loss. Aiming at the nonstationary and nonlinear characteristics of bearing vibration signals as well as the complexity of condition-indicating information distribution in the signals, a novel rolling element bearing fault diagnosis method based on multifractal theory and gray relation theory was proposed in the paper. Firstly, a generalized multifractal dimension algorithm was developed to extract the characteristic vectors of fault features from the bearing vibration signals, which can offer more meaningful and distinguishing information reflecting different bearing health status in comparison with conventional single fractal dimension. After feature extraction by multifractal dimensions, an adaptive gray relation algorithm was applied to implement an automated bearing fault pattern recognition. The experimental results show that the proposed method can identify various bearing fault types as well as severities effectively and accurately.

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Section: Gray Relation Theorymentioning

confidence: 99%

A Rolling Element Bearing Fault Diagnosis Approach Based on Multifractal Theory and Gray Relation Theory

Cao

Ying

et al. 2016

PLoS ONE

Self Cite

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“…This technology is deeply welcomed by various combat troops and has great application value. The fractal theory [9][10][11][12] is often referred to as the geometry that exists in nature and complements the chaos theory of the dynamic system. In 1975, the American French mathematician, B.B.…”

Section: Introductionmentioning

confidence: 99%

“…Fractal dimension theory has been widely used in fault diagnosis [10,13], image information processing [14,15] and other fields, which can effectively describe the waveform characteristics of signals. For instance, the fractal-box dimension algorithm uses the boxes with different side lengths to depict the signal waveform change [16,17].…”

Section: Introductionmentioning

confidence: 99%

Research on multifractal dimension and improved gray relation theory for intelligent satellite signal recognition

Zhang

2019

Wireless Netw

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In the wake of the development and advancement of signal processing technology for communication radiation source individual, Signal fingerprint feature extraction and analysis technology for communication radiation source individual has broad application prospects in many fields. To effectively extract the individual characteristics of different modulated signals under low SNR environment, and recognize the subtle features for communication radiation source individuals has been a hot spot. Aiming at the problem of signal feature extraction and classifier design under low SNR environment, in the paper, a multifractal dimension and improved gray relation theory based classifier design algorithm is proposed. Firstly, the multifractal dimension feature extraction of nine modulated communication signals is realized. Then multifractal dimension features of these modulated signals under different SNR are compared. An improved gray relation algorithm is used to recognize the extracted subtle characteristics. Meanwhile, FSK signal is used to simulate radio subtle features by adding different distribution of noise. Subtle feature extraction by means of multifractal dimension algorithm and pattern recognition by means of improved gray relation algorithm are used to test the effectiveness of the proposed method for identification of modulated signals and radio subtle features. The simulation results show that the recognition success rate of nine different communication modulated signals can reach 93% even under the SNR of 2 dB, and the recognition success rate of the subtle features of distributed noise can reach 100%. The proposed method provides an effective theoretical basis for identifying of radio modulated signals and communication radiation source individual subtle features.

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“…T is the column vector of the parameters in BRB, u k , d i , b j, k , and D j are as given in equation (2).…”

Section: The Optimization Modelmentioning

confidence: 99%

“…1,2 Its health condition has a great impact on the safety of the whole aircraft. Many research works indicate that the faults in gas-path system hold a leading post in aero-engine at 90% 3 and are the main factors leading to in-flight shutdown (IFSD).…”

Section: Introductionmentioning

confidence: 99%

Health estimation of fan based on belief-rule-base expert system in turbofan engine gas-path

Yin

Wang

Zhang

et al. 2017

Advances in Mechanical Engineering

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Fan is an important rotating part in turbofan engine gas-path. The health condition of fan has a great impact on the health status of the whole aero-engine. Based on belief-rule-base, a novel health estimation model is proposed for fan in turbofan engine gas-path. In this model, the health condition of fan is reflected by the observable information which can represent the system health. In the process of health estimation, the expert knowledge is used fully to improve the precision and speed of the estimation. In the initial health estimation model, some parameters given by expert may not be accurate. To obtain the accurate estimation result, an algorithm for updating the parameters is proposed based on differential evolution algorithm. In order to verify the feasibility and accuracy of the proposed model, back-propagation neural network is applied to comparison. The newly proposed model is applied to an actual test in the aero-engine test bed, which is used to testify the validity of the health estimation model. This model can also provide a reference for the health estimation of turbofan engine gas-path.

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Study on gas turbine engine fault diagnostic approach with a hybrid of gray relation theory and gas-path analysis

Cited by 58 publications

References 25 publications

A Rolling Element Bearing Fault Diagnosis Approach Based on Multifractal Theory and Gray Relation Theory

A Rolling Element Bearing Fault Diagnosis Approach Based on Multifractal Theory and Gray Relation Theory

Research on multifractal dimension and improved gray relation theory for intelligent satellite signal recognition

Health estimation of fan based on belief-rule-base expert system in turbofan engine gas-path

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