A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest. (15th December 2016)

• Record Type: Journal Article
• Authors: Leclère, Quentin; André, Hugo; Antoni, Jérôme
• Is Part Of: Mechanical systems and signal processing. Volume 81(2016)
• Page Start: 375
• Page End: 386
• Publication Date: 2016-12-15
• Subjects: Instantaneous Angular Speed -- Wind turbines -- Order tracking -- Demodulation -- Virtual tacho; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2016.02.053
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, December 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical periodic phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies, etc.). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case. Abstract : Highlights: An analysis of the CMMNO 2014 contest results is proposed. The aim of the contest was to identify the instantaneous angular speed of a wind turbine. A particular difficulty was to correctly associate harmonics of the signal to mechanical events. A novel approach is proposed, based on a probabilistic framework. The method is illustrated in the frame of the contest case.