Erratum to: Sensitivity analysis of higher order coherent spectra in machine faults diagnosis (Structural Health Monitoring: An International Journal, (2016), 15, 5, (555-567), 10.1177/1475921716651394);Sensitivity analysis of higher order coherent spectra in machine faults diagnosis

Structural Health Monitoring

Volumn 15, Issue 5, 2016, Pages 555-567

  Yunusa Kaltungo, Akilu ^a   Sinha, Jyoti K ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

data fusion; induced draft fan; poly coherent composite bispectrum; poly coherent composite trispectrum; Rotating machines; sensitivity analysis

Indexed keywords

DATA FUSION; FREQUENCY DOMAIN ANALYSIS; LOCATION; ROTATING MACHINERY; SENSITIVITY ANALYSIS; STRUCTURAL HEALTH MONITORING; STRUCTURES (BUILT OBJECTS); VIBRATION ANALYSIS;

BISPECTRUM; FREQUENCY-DOMAIN DATA; HIGHER ORDER SPECTRUM; INDUCED DRAFT FANS; INTERNATIONAL JOURNALS; MEASUREMENT LOCATIONS; ROTATING MACHINE; TRISPECTRUM;

FAULT DETECTION;

EID: 84985961089     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921717713843     Document Type: Erratum

References (27)

1. A.Yunusa-KaltungoJ.K.SinhaA.D.Nembhard.A novel fault diagnosis technique for enhancing maintenance and reliability of rotating machines. Struct Health Monit. Epub ahead of print 24September2015. DOI: 10.1177/1475921715604388.
2. P.GoldmanA.Muszynska.Application of full spectrum to rotating machinery diagnosis. Orbit1999; 20: 17–21.
3. L.DengR.Zhao.A vibration analysis method based on hybrid techniques and its application to rotating machinery. Measurement2013; 46: 3671–3682.
4. W.FengqiG.Meng.Compound rub malfunctions feature extraction based on full-spectrum cascade analysis and SVM. Mech Syst Signal Pr2006; 20(8): 2007–2021.
5. B.MuruganathamM.A.SanjithB.Krishnakumar. Roller element bearing fault diagnosis using singular spectrum analysis. Mech Syst Signal Pr2013; 35(1): 150–166.
6. G.Bouleux.Oblique projection pre-processing and TLS application for diagnosing rotor bar defects by improving power spectrum estimation. Mech Syst Signal Pr2013; 41(1): 301–312.
7. A.Yunusa-KaltungoA.D.NembhardJ.K.Sinha. Experimental observations of rotor orbit analysis in rotating machines. In: Proceedings of the 9th IFToMM international conference on rotor dynamics (IFToMM ICORD 2014), Milan, 22–25 September 2014. Cham: Springer.
8. P.LiF.KongQ.He. Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis. Measurement2013; 46(1): 497–505.
9. V.MuralidharanV.Sugumaran.Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump. Measurement2013; 46(1): 353–359.
10. H.JianC.LiH.Li.An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis. Mech Syst Signal Pr2013; 36(2): 225–239.
11. R.YanR.X.GaoX.Chen.Wavelets for fault diagnosis of rotary machines: a review with applications. Signal Process2014; 96: 1–15.
12. G.Y.LuoD.OsypiwM.Irle.On-line vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing. J Vib Control2003; 9(8): 931–947.
13. A.ZiajaI.AntoniadouT.Barszcz. Fault detection in rolling element bearings using wavelet-based variance analysis and novelty detection. J Vib Control. Epub ahead of print 20May2014. DOI: 10.1177/1077546314532859. http://jvc.sagepub.com/content/22/2/396.short (accessed 15 February 2015).
14. W.SunG.A.YangQ.Chen. Fault diagnosis of rolling bearing based on wavelet transform and envelope spectrum correlation. J Vib Control2012; 19(6): 924–941.
15. J.LiuW.WangF.Ma.Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique. J Vib Control2012; 18(7): 953–963.
16. W.B.CollisP.R.WhiteJ.K.Hammond.Higher-order spectra: the bispectrum and trispectrum. Mech Syst Signal Pr1998; 12(3): 375–394.
17. J.W.A.FackrellP.R.WhiteJ.K.Hammond. The interpretation of the bispectra of vibration signals. II: experimental results and applications. Mech Syst Signal Pr1995; 9(3): 267–274.
18. A.Yunusa-KaltungoJ.K.Sinha.Combined bispectrum and trispectrum for faults diagnosis in rotating machines. Proc IMechE, Part O: J Risk and Reliability2014; 228: 419–428.
19. J.K.Sinha.Higher order spectra for crack and misalignment identification in the shaft of a rotating machine. Struct Health Monit2007; 6(4): 325–334.
20. L.JiangY.LiuX.Li. Using bispectral distribution as a feature for rotating machinery fault diagnosis. Measurement2011; 44(7): 1284–1292.
21. H.WangJ.Chen.Performance degradation assessment of rolling bearing based on bispectrum and support vector data description. J Vib Control2014; 20(13): 2032–2041.
22. A.Yunusa-KaltungoJ.K.Sinha.A comparison of signal processing tools: higher order spectra versus higher order coherences. J Vib Eng Technol2015; 3(4): 461–472.
23. A.Yunusa-KaltungoJ.K.SinhaA.D.Nembhard.Use of composite higher order spectra for faults diagnosis of rotating machines with different foundation flexibilities. Measurement2015; 70: 47–61.
24. A.Yunusa-KaltungoJ.K.SinhaK.Elbhbah.An improved data fusion technique for faults diagnosis in rotating machines. Measurement2014; 58: 27–32.
25. B.C.B.N.SuryamK.K.MeherJ.K.Sinha. Coherence measurement for early contact detection between two components. J Sound Vib2006; 290(1): 519–523.
26. Howden Group Limited. Lafarge Cement PLC (Ashaka Plant) GEPOL fan line 1 (Type L3N 2176.12.79 DBL6T): instructions for assembly, dismantling, operation and maintenance. First issue, 22June2010. France: Villeneuve d’Ascq Cedex.
27. A.Yunusa-KaltungoJ.K.Sinha. First aid treatment for machine vibration problems. Maint Eng Asset Manag J2014; 29(2): 49–50.