Observations of acoustic emission activity during gear defect diagnosis

Toutountzakis, Tim; David, Éric

doi:10.1016/s0963-8695(03)00063-x

Cited by 74 publications

(45 citation statements)

References 10 publications

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“…High frequency (up to 1 MHz) impulsive and continuous-type components would therefore be expected. Amplitude, rms and ringdown counts all increased with defect size in e.g., [13], [23], [24] and it was also found that rms increased with misalignment of gears [27]. In these studies, sensors were placed upon gears or on the gearbox.…”

Section: Renewablesmentioning

confidence: 99%

Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK)

Walsh

Bashir

Thies

et al. 2015

OCEANS 2015 - Genova

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Abstract-Marine renewable energy (MRE) is an emerging technology and at present there are an increasing number of MRE prototypes and full-scale devices deployed. The future commercialization in the near future may contribute to the mitigation of carbon emissions and diversify the renewable electricity generation portfolio. Because of the high costs of marine intervention, it is important to establish reliable, remote monitoring techniques. The underwater sound around MRE devices is often monitored for environmental impact assessments. This approach can also be potentially utilized to monitor the engineering health of MRE devices. This is the objective of the project AEMORE (Acoustic Emission technology for environmental and engineering health Monitoring of Offshore Renewable Energy), jointly conducted by the Universities of Exeter and Bath, with J+S Ltd. Acoustic Emission (AE) monitoring is already used for Structural Health Monitoring (SHM) of land-based structures and devices such as wind turbines. AE allows faults and defects to be detected early in a device's lifetime, providing more time to plan and implement necessary maintenance and repair procedures to avoid catastrophic failure. This is highly desirable for MRE structures, which operate in energetic seas with tight weather access windows. This paper explores the remit for AE monitoring to SHM and maintenance planning for MRE devices and demonstrates that this novel application is principally feasible. A brief review of the state of the art of AE for land-based systems aids to illustrate how its techniques can be applied to underwater environments and MRE components. This literature review will inform a classification system that relates likely failure modes to their expected acoustic emissions. The results from previous underwater environmental studies are used to evaluate their potential for SHM of MRE structures. AE environmental data collected during the operation of the Fred Olsen Lifesaver wave energy converter at the Falmouth Bay Test site (FaBTest, SW UK) is used to demonstrate this novel application. The case study provides proof that this concept is valid for underwater SHM of marine renewable structures.

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Section: Renewablesmentioning

confidence: 99%

Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK)

Walsh

Bashir

Thies

et al. 2015

OCEANS 2015 - Genova

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“…Consequently, AE signals originating from any component other than the bearing will incur significant attenuation to an AE receiving sensor attached on the bearing housing. However, recent attempts [4] at locating the AE receiving sensor on rotating parts have been encouraging.…”

Section: Acoustic Emission In Rail Trackmentioning

confidence: 99%

An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

Bruzelius

2004

NDT & E International

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In light of recent accidents in the rail industry, the assessment of the mechanical integrity of rail-track is of vital importance. This encompasses the integrity of the track due to rolling contact fatigue and surface wear. Whilst numerous techniques are employed for crack detection, several defects have clearly been missed. In Europe, more than 100 rails are broken each year and rail maintenance costs within the European Union is estimated at 300-million Euros annually [Inst Mech Engrs 216 (2001) 249]. The derailment of a train at Hatfield in October 2000 is a tragic example of a fractured rail going undetected.This paper presents an experimental study on the applicability of Acoustic Emissions (AE) for rail-track defect diagnosis. An experimental test-rig was employed for this programme. This allowed for a surface defect to be seeded onto the test-rig. The investigation presented is part of an on-going attempt to develop the non-destructive technique of AE for assessing the surface integrity of rail-track. The AE technique is not new but the application in this particular instance is unique. It is concluded that the AE technique offers a complementary tool for rail track defect detection. q

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“…Several maintenance methods for the diagnosis of damage to gear-teeth surfaces have already been developed using different techniques such as acoustic emission (Toutountzakis and Mba, 2003) (Miyachika, et al, 2006) and vibration (Haloui, et al, 2007) (Diwakar, et al, 2012) (Ohue, et al, 2011). However, it is still difficult to identify the location of the damage and provide a detailed estimate of its scale.…”

Section: Introductionmentioning

confidence: 99%

Easy set-up and in situ automatic gear diagnostic system using only laser reflection

Tanaka

Nakajima

Okabe³

et al. 2016

JAMDSM

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We developed a new method that can diagnose damage on a gear tooth surface using a laser beam without a rotary encoder. The method procedure is as follows: 1) The tooth bottom, the tooth tip and their two median values are detected using the differential values of the laser reflection data. 2) The gear rotation speed is calculated with these four positions, and interpolated according to the rotation fluctuation. 3) Using the calculated gear rotation speed, the measured data can be converted to the corresponding gear rotation angles. Thus we can diagnose the damage of the gear tooth surface precisely and can easily set up the experimental measurements without being influenced by rotational fluctuation. To confirm the validity of the method, we conducted the diagnosis experiment and we created contour maps to show the diagnosis accuracy variation according to the fluctuations of the amplitude and cycle. Based on these maps, we found that the diagnosis accuracy of the damage size is the same irrespective of the presence or absence of a rotary encoder. The diagnosis accuracy of the damage location without using a rotary encoder is lower than the result obtained using a rotary encoder because we assumed that the detection of the damage start point is delayed using this new method. Furthermore, we defined the limit using the conditions of this method from the sampling theorem; the validity of this definition could also be confirmed from the contour map.

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Observations of acoustic emission activity during gear defect diagnosis

Cited by 74 publications

References 10 publications

Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK)

Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK)

An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

Easy set-up and in situ automatic gear diagnostic system using only laser reflection

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