Evaluation of gear noise behaviour with application force level

Utakapan, T.; Kohn, Bernhard; Fromberger, M.; Otto, Michael; Stahl, Karsten

doi:10.1007/s10010-017-0228-y

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…Firstly, two accelerometers are adopted as a means to detect gear torsional vibration. Indeed, this peculiar system has been proven to be a valid methodology for evaluating gear dynamic behavior [56,57]. Secondly, a thermocouple is included as tooth temperature (and its sudden variation) can be related to tribological damages (e.g., [58,59]); in order to enhance this aspect, the sensor is placed as close as possible to the contact area.…”

Section: Definition Of the Componentsmentioning

confidence: 99%

The Effect of Sensor Integration on the Load Carrying Capacity of Gears

et al. 2022

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Classical machine elements have been around for centuries, even millennia. However, the current advancement in Structural Health Monitoring (SHM), together with Condition Monitoring (CM), requires that machine elements should be upgraded from a not-simple object to an intelligent object, able to provide information about its working conditions to its surroundings, especially its health. However, the integration of electronics in a mechanical component may lead to a reduction in its load capacity since the component may need to be modified in order to accommodate them. This paper describes a case study, where, differently from other cases present in the literature, sensor integration has been developed under the gear teeth of an actual case-hardened helical gear pair to be used within an actual gearbox. This article has two different purposes. On the one hand, it aims to investigate the effect that component-level SHM/CM has on the gear load carrying capacity. On the other hand, it also aims to be of inspiration to the reader who wants to undertake the challenges of designing a sensor-integrated gear.

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Section: Definition Of the Componentsmentioning

confidence: 99%

The Effect of Sensor Integration on the Load Carrying Capacity of Gears

et al. 2022

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Auswertung des Anregungsverhaltens eines mehrstufigen Getriebes

Utakapan

Kohn

Fromberger

et al. 2018

Forsch Ingenieurwes

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Sensor-integrating gears: wear detection by in-situ MEMS acceleration sensors

Peters

Ott

Dörr

et al. 2021

Forsch Ingenieurwes

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Gear tooth wear is a common phenomenon leading to malfunctions in machines. To detect wear and faults, gear condition monitoring by vibration is established. The problem is that the measurement data quality for detection of wear by vibration is not good enough with currently established measurement methods, caused by long signal paths of the commonly used housing mounted sensors. In-situ sensors directly at the gear achieve better data quality, but are not yet proved in wear detection. Further it is unknown what analysis methods are suited for in-situ sensor data. Existing gear condition metrics are mainly focused on localized gear tooth faults, and do not estimate wear related values. This contribution aims to improve wear detection by investigating in-situ sensors and advance gear condition metrics. Using a gear test rig to conduct an end of life test, the wear detection ability of an in-situ sensor system and reference sensors on the bearing block are compared through standard gear condition metrics. Furthermore, a machine-learned regression model is developed that maps multiple features related to gear dynamics to the gear mass loss. The standard gear metrics used on the in-situ sensor data are able to detect wear, but not significantly better compared to the other sensors. The regression model is able to estimate the actual wear with a high accuracy. Providing a wear related output improves the wear detection by better interpretability.

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Evaluation of gear noise behaviour with application force level

Cited by 5 publications

References 3 publications

The Effect of Sensor Integration on the Load Carrying Capacity of Gears

The Effect of Sensor Integration on the Load Carrying Capacity of Gears

Auswertung des Anregungsverhaltens eines mehrstufigen Getriebes

Sensor-integrating gears: wear detection by in-situ MEMS acceleration sensors

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