Integrated modulation intensity distribution as a practical tool for condition monitoring |
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| Institution: | 1. AGH University of Science and Technology, 30-059 Kraków, Poland;2. Vibrations and Acoustic Laboratory, INSA of Lyon, University of Lyon, F-69621 Villeurbanne Cedex, France;1. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;2. Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;1. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong, China;2. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;1. School of Management, Hefei University of Technology, Hefei, 230009, PR China;2. Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei, 230009, PR China;3. Anhui Ronds Science & Technology Incorporated Company, Hefei, 230088, PR China;1. Applied Mechanics of New Materials Laboratory, Guelma University, P.O.B 401, Guelma 24000, Algeria;2. Mechanic & Structures Laboratory, Guelma University, P.O.B 401, Guelma 24000, Algeria;3. Urban Modelling Group, School of Civil, Structural and Environmental Engineering and the Earth Institute, University College Belfield, Dublin 4, Ireland |
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| Abstract: | Modulations present in vibration signals generated by rotating machinery might carry a lot of useful information about objects’ technical condition. It has been proven that both gearboxes and rolling element bearing (REB) faults manifest themselves as modulations. The paper describes a technique for detection of modulations in vibroacoustic signals, called modulation intensity distribution (MID), which is a function that combines multiple spectral correlation densities in one way or another, depending on the application. Additionally, the paper describes a functional obtained by integrating an MID (denoted by IMID) that has the advantage of being a function of only one frequency variable instead of two. The paper investigates the utility of the MID as an indicator for detection of the presence of rolling element bearing faults in high noise environments. For the purpose of testing, a wind turbine that suffered both advanced gearbox fault and early stage of bearing fault was chosen. Additionally, the paper undertakes the problem of application of the proposed tool in an industrial condition-monitoring system. In order to show the behavior of cyclic components generated by the turbine under study over a long period of time, the set of MIDs integrated over full range of potential carrier signals was presented as a cascade plot. |
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| Keywords: | Modulation intensity distribution MID Spectral correlation Cyclostationarity Modulations Rolling elements bearings |
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