Evaluation of a Novel Condition Indicator with Comparative Application to Hypoid Gear Failures

Autor: Marcell Surányi, Michael Leighton, Christian Reinbrecht, Michael Bader
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Applied Sciences, Vol 11, Iss 23, p 11499 (2021)
Druh dokumentu: article
ISSN: 11231149
2076-3417
71220224
DOI: 10.3390/app112311499
Popis: This paper presents a condition monitoring methodology that uses a novel condition indicator (CI) algorithm, allowing for a confident assessment of system health and an advanced warning of failures. The CI is evaluated in the application of a specialized gear rig utilized for the high-cycle fatigue testing of hypoid gears. The CI is shown in this case study to ensure higher confidence in the prediction of failures than other algorithms, with variations in the results. In the comparison, consideration is given to the signal-to-noise ratio, the ability to differentiate between damages and/or damaged components and the sensitivity of the CI to the failure.
Databáze: Directory of Open Access Journals