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      Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method

      1 , 2 , 3 , 1 , 2 , 2
      Shock and Vibration
      Hindawi Limited

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          Abstract

          For the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from acoustic emission (AE) signals under multiple rotational speeds and multimeasuring points. The theory of FIEDM is investigated based on four information exergy distances under multirotational speeds. As for rolling bearings, four faults and one normal condition are simulated on a birotor test rig to collect the AE signals, in which the four faults are inner ring fault, outer ring fault, rolling element fault, and inner race-rolling element coupling fault. The faults of the intershaft bearings are analyzed and diagnosed by using the FIEDM. From the investigation, it is demonstrated that the faults of the intershaft bearings are accurately diagnosed and identified, and the FIEDM is effective for the analysis and diagnosis of intershaft bearing faults. Furthermore, the fault diagnosis precision of intershaft bearings becomes higher with increasing rotational speed.

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          Most cited references21

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          Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics

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            Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell

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              A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size

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                Author and article information

                Journal
                Shock and Vibration
                Shock and Vibration
                Hindawi Limited
                1070-9622
                1875-9203
                August 29 2018
                August 29 2018
                : 2018
                : 1-8
                Affiliations
                [1 ]School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China
                [2 ]Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, China
                [3 ]School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
                Article
                10.1155/2018/7546128
                1714abcc-5889-4ce7-90f2-9e306c83412a
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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