Characterisation of parallel misalignment in rotating machines by means of the modulated signal of incremental encoders

Pérez, Patrick; León, Félix C. Gómez de; Zaghar, L.

doi:10.1016/j.jsv.2014.05.048

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…This phenomenon appears in the signals caught with encoders (position sensors) arranged on the shafts of machines, since those signals experience a process of variations in their frequency characteristics. This is caused by the instantaneous changes in shaft speed when torsional vibrations exist [8]. Therefore, when this speed is purely constant, in ideal conditions, the transducer signal gives a periodic square function.…”

Section: Modulated Signal Fundamentalsmentioning

confidence: 99%

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Measurement of torsional vibration to detect angular misalignment through the modulated square wave of an encoder

Meroño

Gómez

Marín-García

et al. 2017

Meas. Sci. Technol.

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One of the widely used processes to measure torsional vibration focuses on the analysis of a square signal from a device set in the machine shaft. The tools used for this purpose usually consist of a toothed wheel connected to an appropriate transducer, of an electromagnetic or optic type, which provides a square wave signal. If the rotation velocity is constant, the signal pulses are the same width, but when the velocity changes, the width of the pulses changes too, lengthening or shortening its width, resulting in a frequency modulated signal. When the shafts of the machines are misaligned angularly, the average speed changes due to variable torque action, so that spectral features of modulated signal show frequency components that are explained by the Bessel Functions. This work shows that these components are caused by a carrying (constant average speed) and a modulator signal (variable turning speed) between the harmonics surrounding the central frequency. Besides, it may also test their relationship with the presence of angular misalignment in the coupled-machine shafts. In addition, an iterative method is applied to construct the frequency spectral diagram of the induced square signal, once the appropriate modulation indices of the Bessel functions have been calculated. To compare and validate the method, different bench tests have been performed using pulse signal and laser interferometry.

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Section: Modulated Signal Fundamentalsmentioning

confidence: 99%

“…The discrete time interval measurement system (DTIMS) [1] is a more suitable method for detecting the angular vibration produced by a parallel misalignment in rotating machines than the time interval measurement system (TIMS) [2][3][4][5][6][7], as Meroño et al [8] demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Measurement of torsional vibration to detect angular misalignment through the modulated square wave of an encoder

Meroño

Gómez

Marín-García

et al. 2017

Meas. Sci. Technol.

View full text Add to dashboard Cite

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“…In order to explore the intrinsic features of the encoder signal, Jiao et al [20] fused multivariate encoder information as the input of convolutional neural network (CNN) for intelligent diagnosis and proved the effectiveness. Besides, in [21][22][23], researchers have also studied the application of encoder signal on transmission error measurements for the rotating shaft.…”

Section: Introductionmentioning

confidence: 99%

An encoder information-based anomaly detection method for planetary gearbox diagnosis

Liang

Zhao

Lin

et al. 2020

Meas. Sci. Technol.

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To keep the reliability of the planetary gearbox, anomaly detection has been widely investigated for its health monitoring. To this end, a novel approach is presented in this paper to extract fault features based on the merits of built-in encoder signals. Considering that collected encoder data is accumulated in angular positions, instantaneous angular acceleration (IAA) is firstly calculated to highlight the characteristic components. And then time synchronization average (TSA) is applied on an estimated multi-period for denoising, which improves the robustness of the TSA to the feature attenuation effect caused by the round-off error of the basic period. In this paper, we explore the distinguishing properties of regular components and the fault anomaly to impose different restraints on them, which is embodied as a periodicity-enhanced model of robust principle analysis. And objective features are further separated by solving this optimization model. The validation analysis of the proposed framework is applied on both the simulation and experimental cases. The results show that the proposed method is of good performance to deal with encoder signals from the planetary gearbox for fault diagnosis.

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The First Alternative of the Optimal Auxiliary Functions Method

Marinca

Herişanu

Marinca

2021

Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems

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Characterisation of parallel misalignment in rotating machines by means of the modulated signal of incremental encoders

Cited by 8 publications

References 11 publications

Measurement of torsional vibration to detect angular misalignment through the modulated square wave of an encoder

Measurement of torsional vibration to detect angular misalignment through the modulated square wave of an encoder

An encoder information-based anomaly detection method for planetary gearbox diagnosis

The First Alternative of the Optimal Auxiliary Functions Method

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