Wear monitoring of bearing steel using electrostatic and acoustic emission techniques

Sun, Jun; Wood, R.J.K.; Wang, L.; Care, I.; Powrie, H.E.G.

doi:10.1016/j.wear.2005.02.021

Cited by 74 publications

(43 citation statements)

References 14 publications

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“…The most commonly used techniques are vibration measurement, acoustic emission (AE) analysis, electrostatic (ES) measurement [6,7], bearing temperature analysis [8], ultrasonic measurement [9], Shock Pulse Method (SPM) [10], wear debris analysis [11], and modal analysis [12]. Despite the fact that there are many techniques to monitor the conditions of rolling-element bearings, the vibration analysis is one of the basic methods to control technical conditions of new bearings.…”

Section: Rolling Bearings Diagnostic Methodsmentioning

confidence: 99%

“…The acoustic emission (AE) method is a non-invasive testing method, because it does not emit signals and therefore does not affect the physical state of the examined bearing [6]. This method is based on the phenomenon of formation of transient elastic waves in the material due to the propagation of, for example, micro scratches, cracks, or corrosion processes in the bearing.…”

Section: Introductionmentioning

confidence: 99%

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Influence of raceway waviness on the level of vibration in rolling-element bearings

Adamczak

Zmarzły

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This paper provides a quantitative analysis of how raceway waviness (RONt) in 6304-type bearings affects their vibration. The waviness of bearing races was measured at the actual points of contact between the balls and the races. The measurements were conducted in the range of 16-50 undulations per revolution (UPR). The bearing vibration was analyzed in three bandwidths of frequency: low (LB) (50 ÷ 300 Hz), medium MB (300 ÷ 1800 Hz) and high HB (1800 ÷ 10 000 Hz), as well as in the full RMS bandwidth. The paper also presents the procedure used to determine the actual points of contact between the ball and each race to specify the point of waviness measurement. The method of calculation of the contact angle for a ball bearing is also discussed. The Pearson linear correlation coefficients were determined to analyze the relationships between the waviness parameters and the level of vibration. The test results show that an increase in the surface waviness on the inner and outer raceways causes an increase in the vibration level. The influence is most visible for the medium frequency bandwidth.

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Section: Rolling Bearings Diagnostic Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of raceway waviness on the level of vibration in rolling-element bearings

Adamczak

Zmarzły

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Permanent deformation consists of plastic deformation, which occurs Localized defects [65][66][67][68][69] Crack detection 70,71 Wear [72][73][74] Crack length estimation 32,[75][76][77] Damage location 26,[78][79][80][81][82] Tooth breakage 11,62,83 Geometrical imperfections 26,55 Contaminants 84…”

Section: Gearsmentioning

confidence: 99%

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

Cubillo

Perinpanayagam

Esperon-Miguez

2016

Advances in Mechanical Engineering

202

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Health condition monitoring for rotating machinery has been developed for many years due to its potential to reduce the cost of the maintenance operations and increase availability. Covering aspects include sensors, signal processing, health assessment and decision-making. This article focuses on prognostics based on physics-based models. While the majority of the research in health condition monitoring focuses on data-driven techniques, physics-based techniques are particularly important if accuracy is a critical factor and testing is restricted. Moreover, the benefits of both approaches can be combined when data-driven and physics-based techniques are integrated. This article reviews the concept of physics-based models for prognostics. An overview of common failure modes of rotating machinery is provided along with the most relevant degradation mechanisms. The models available to represent these degradation mechanisms and their application for prognostics are discussed. Models that have not been applied to health condition monitoring, for example, wear due to metal-metal contact in hydrodynamic bearings, are also included due to its potential for health condition monitoring. The main contribution of this article is the identification of potential physics-based models for prognostics in rotating machinery.

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“…That these terminologies and ad hoc methods have been presented in a variety of scientific, mechanical engineering, material engineering and other publications, shows that the use of electrostatic monitoring is currently being investigated in a number of areas, such as condition monitoring for aero-engine gas path [4,12,14,[25][26][27][28][29][30][31], lubrication oil wear debris detecting [32][33][34][35] , bearing wear monitoring [36][37][38][39] and flow measurement [40], rotational speed measurement [41] and particle size measurement [42], to name a few. However, it is apparent that much more research is needed into this technology, as will be discussed in the final section of this paper.…”

Section: Introductionmentioning

confidence: 99%

A review of electrostatic monitoring technology: The state of the art and future research directions

Zhang

Hou

Atkin

2017

Progress in Aerospace Sciences

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Electrostatic monitoring technology is a useful tool for monitoring and detecting component faults and degradation, which is necessary for system health management. It encompasses three key research areas: sensor technology; signal detection, processing and feature extraction; and verification experimentation. It has received considerable recent attention for condition monitoring due to its ability to provide warning information and non-obstructive measurements on-line. A number of papers in recent years have covered specific aspects of the technology, including sensor design optimization, sensor characteristic analysis, signal de-noising and practical applications of the technology. This paper provides a review of the recent research and of the development of electrostatic monitoring technology, with a primary emphasis on its application for the aero-engine gas path. The paper also presents a summary of some of the current applications of electrostatic monitoring technology in other industries, before concluding with a brief discussion of the current research situation and possible future challenges and research gaps in this field. The aim of this paper is to promote further research into this promising technology by increasing awareness of both the potential benefits of the technology and the current research gaps.

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Wear monitoring of bearing steel using electrostatic and acoustic emission techniques

Cited by 74 publications

References 14 publications

Influence of raceway waviness on the level of vibration in rolling-element bearings

Influence of raceway waviness on the level of vibration in rolling-element bearings

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

A review of electrostatic monitoring technology: The state of the art and future research directions

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