Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Ming J. Zuo"'
Publikováno v:
Friction, Vol 12, Iss 6, Pp 1272-1282 (2023)
Abstract This study introduces a method to predict the remaining useful life (RUL) of plain bearings operating under stationary, wear-critical conditions. In this method, the transient wear data of a coupled elastohydrodynamic lubrication (mixed-EHL)
Externí odkaz:
https://doaj.org/article/0881f7003ab241f4af2a9e081dbaa694
Publikováno v:
International Journal of Prognostics and Health Management, Vol 11, Iss 2 (2020)
This paper presents methods for the 2019 PHM Conference Data Challenge developed by the team named "Angler". This Challenge aims to estimate the fatigue crack length of a type of aluminum structure using ultrasonic signals at the current load cycle a
Externí odkaz:
https://doaj.org/article/89fe1fcf733b4386938205066c5e071e
Publikováno v:
IEEE Access, Vol 5, Pp 24301-24331 (2017)
Effective signal processing methods are essential for machinery fault diagnosis. Most conventional signal processing methods lack adaptability, thus being unable to well extract the embedded meaningful information. Adaptive mode decomposition methods
Externí odkaz:
https://doaj.org/article/71e3c6096558447e9cd1dac261d75f8f
Publikováno v:
Sensors, Vol 21, Iss 8, p 2638 (2021)
Planetary gearbox systems are critical mechanical components in heavy machinery such as wind turbines. They may suffer from various failure modes, due to the harsh working environment. Dynamic modeling is a useful method to support early fault detect
Externí odkaz:
https://doaj.org/article/d96606bb729d42ae9f9a69f792204aab
Publikováno v:
Energies, Vol 12, Iss 8, p 1408 (2019)
Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activi
Externí odkaz:
https://doaj.org/article/6fc9e1f9072742f69a9a03871f128392
Publikováno v:
Shock and Vibration, Vol 2015 (2015)
Gears are widely used in gearbox to transmit power from one shaft to another. Gear crack is one of the most frequent gear fault modes found in industry. Identification of different gear crack levels is beneficial in preventing any unexpected machine
Externí odkaz:
https://doaj.org/article/023d6965db9c4c0f80eeac1ae6433a8f
Publikováno v:
Applied Sciences, Vol 7, Iss 8, p 775 (2017)
Planetary gearbox vibration signals have strong modulation features due to the amplitude modulation and frequency modulation (AM-FM) effect of gear faults, as well as the amplitude modulation (AM) effect of time-varying vibration transfer paths, on g
Externí odkaz:
https://doaj.org/article/f4762b8b1a774d76b15c2e2fc5e7fe8e
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-11
Publikováno v:
IEEE Transactions on Reliability. 71:1567-1576
In this article, we propose an active kriging-based learning method for hybrid reliability analysis (HRA) with random and interval variables. An improved sampling strategy is proposed to target the sampling areas. Samples with maximum responses great
Publikováno v:
Quality and Reliability Engineering International. 38:3072-3098