Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

Ibarra-Zárate, David I.; Tamayo-Pazos, Oscar; Vallejo-Guevara, Antonio

doi:10.1007/s00170-019-04171-6

Cited by 35 publications

(16 citation statements)

References 20 publications

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“…From literature, AE sensors have successfully been used to monitor piston rod seal wear at different parametric conditions. Therefore, in this study, AE is preferred because of the high frequency range [28,29], which makes it easier to identify wear of different parts that are present in hydraulic cylinders, and to define condition indictors that can be used to simultaneously monitor the condition of multiple components in hydraulic cylinders.…”

Section: Introductionmentioning

confidence: 99%

Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders

Meyer

Schlanbusch

2021

Int J Adv Manuf Technol

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Fluid leakage from hydraulic cylinders is a major concern for the offshore industries as it directly affects hydraulic cylinder energy efficiency and causes environmental contamination. There have been attempts made in literature to develop robust condition monitoring techniques for hydraulic cylinders. However, most of these studies were performed to identify degradation of single components. Therefore, in this study, the aim is to monitor degradation of multiple components simultaneously in hydraulic cylinders using acoustic emissions. Experiments performed consist of three test phases and were performed using a hydraulic test rig. In the first test phase, the study is performed to identify acoustic emission features that can be used to monitor piston rod seal wear. In the second test phase, acoustic emission features are identified that can be used to understand bearing wear when unworn, semi-worn or worn piston rod seals are used in hydraulic test rig. In the third test phase, a run-to-failure test is conducted to identify acoustic emission features that can indicate fluid leakage initiation due to piston rod seal wear. The median frequency feature showed good repeatability in all the three test phases to identify piston rod seal wear, bearing wear and fluid leakage initiation during the initial stages in the hydraulic test rig. The proposed acoustic emission-based condition monitoring technique is robust and can be used for the hydraulic cylinders in the industries, as it identifies acoustic emission features based on particular frequency bands associated to specific components, making it less susceptible to noise from other components.

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Section: Introductionmentioning

confidence: 99%

Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders

Meyer

Schlanbusch

2021

Int J Adv Manuf Technol

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“…The detection and diagnosis of spindle unbalance (UB), misaligned (MA), bent shaft (BS) or rolling bearing has always been considered as a difficult problem in rotary machining monitoring. David Ibarra-Zarate et al [33] proposed a method based on cepstrum pre-whitening analysis. Figure 11 shows the signal extraction and selection process of this method.…”

Section: Frequency Domain Methodsmentioning

confidence: 99%

A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment

Pan

Huo

et al. 2020

Chin. J. Mech. Eng.

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The high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan, and the mass unbalance is the main reason for its excessive vibration, that seriously impacts the operation efficiency and running life of the equipment. In order to change the traditional way that the fault of equipment can only be repaired by human, the self-recovery mechanism of human and animal are given to the equipment in this paper, which forms the self-recovery regulation (SR) system for unbalance vibration of high-end equipment. The system can online generate the self-recovery force to restrain the unbalance vibration of the equipment in operation, which is an important direction for the development of the equipment to the advanced intelligent stage. Based on the basic principles of SR technique, the typical engineering application cases of this technique in the field of aeroengine and high-end machine tools are introduced, and four related studies promoting the development of this technique are summarized and analyzed in turn. It includes feature extraction, imbalance location, regulation method and balancing actuator. Self-recovery Regulation (SR) Technique is an important way to realize intelligent manufacturing and intelligent maintenance. Relevant research can lay a technical foundation for the development of high-end equipment with self-health function.

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“…In [66] an experimental system to acquire vibration and acoustic emission (AE) signals from faulted bearings methodology based on cepstrum pre-whitening (CPW) is built and tested for vibration signals, and applied for both types of signals, for machine condition monitoring. A comparative study between three advanced signal processing methods for the vibratory diagnosis of rotating machines working in industrial conditions is proposed in [67].…”

Section: Other Approaches Used In Vibration Analysismentioning

confidence: 99%

Basic tools for vibration analysis with applications to predictive maintenance of rotating machines: an overview

Popescu

Aiordăchioaie

Culea-Florescu

2021

Int J Adv Manuf Technol

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The paper presents some basic tools for vibration signals with application in predictive maintenance of rotating machines. After an overview of the maintenance approach, the condition monitoring in predictive maintenance is discussed. Also, signal processing in vibration monitoring, making use of some basic tools as change detection, independent component analysis, time-frequency analysis, and energy distribution in time-frequency plane are presented. These techniques can be combined in a general approach, offering new possibilities for more robust detection of changes in vibration signals and assuring proactive actions in predictive maintenance.

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Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

Cited by 35 publications

References 20 publications

Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders

Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders

A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment

Basic tools for vibration analysis with applications to predictive maintenance of rotating machines: an overview

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