Tytuł artykułu

Condition monitoring of induction motor bearing based on bearing damage index

Tytuł czasopisma

Archives of Electrical Engineering

Rocznik

2017

Wolumin

vol. 66

Numer

No 1 March

Autorzy

Patel, R.K. ; Giri, V.K.

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences

Data

2017

Identyfikator

DOI: 10.1515/aee-2017-0008 ; ISSN: 1427-4221 ; eISSN: 2300-2506

Źródło

Archives of Electrical Engineering; 2017; vol. 66; No 1 March

Referencje

Jiang (2012), Fault Severity Estimation of Rotating Machinery Based on Residual Signals vol pp, Adv Mech Eng, 2012. ; Purushotham (2005), Multi - fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition no pp, NDT E Int, 38. ; McFadden (1984), Vibration monitoring of rolling element bearings by the high frequency resonance technique - a review vol pp, Tribology International, 17, 3, doi.org/10.1016/0301-679X(84)90076-8 ; Randall (2011), Rolling element bearing diagnostics A tutorial no pp, Mech Syst Signal Process, 25, 485, doi.org/10.1016/j.ymssp.2010.07.017 ; Mehrjou (2011), Rotor fault condition monitoring techniques for squirrel - cage induction machine - A review no pp, Mech Syst Signal Process, 25, 2827, doi.org/10.1016/j.ymssp.2011.05.007 ; Wadhwani (2011), Fault Classification for Rolling Element Bearing in Electric Machines, IETE Res. ; Miao (2010), Identification of characteristic components in frequency domain from signal singularities, Rev Sci Instrum, 035113, doi.org/10.1063/1.3361039 ; Nikolaou (2002), Rolling element bearing fault diagnosis using wavelet packets NDT vol pp, International, 35. ; Chandel (2013), Bearing Fault Classification Based on Wavelet Transform and Artificial Neural Network of Research vol no pp, IETE Journal, 3, 59. ; Hong (2009), Fault severity assessment for rolling element bearings using the Lempel - Ziv complexity and continuous wavelet transform of Sound and Vibration vol pp, Journal, 320. ; Wadhwani (2005), Wavelet based vibration monitoring for detection of faults in ball bearings of rotating machines India - EL no pp, Journal Inst Eng, 86, 77. ; Powalka (2008), Identification of machining force model parameters from acceleration measurements of Manufacturing Research vol no pp, Int J, 3, 265. ; Heng (1998), Statistical Analysis of Sound and Vibration Signals for Monitoring Rolling Element Bearing Condition vol pp, Applied Acoustics, 53. ; Gao (2006), Non - stationary signal processing for bearing health monitoring of Manufacturing Research vol no pp, Int J, 1. ; Gouda Kareem (2015), A wavelet - based index for fault detection and its application in condition monitoring of helicopter drive - train components of Manufacturing Research vol no pp, Int J, 10, 1. ; Changting (2009), Rolling bearing defect severity assessment under varying operating conditions of Manufacturing Research vol no pp, Int J, 4, 1. ; Cabal (2012), Single - parameter fault identification through information entropy analysis at the startup - transient current in induction motors Electr vol pp, Pow Syst Res, 89. ; Qin (2013), Vibration signal component separation by iteratively using basis pursuit and its application in mechanical fault detection no pp, J Sound Vib, 332.