Zobrazeno 1 - 10
of 225
pro vyhledávání: '"M. S. Leong"'
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the heal
Externí odkaz:
https://doaj.org/article/fe8a9a8a5b2e43b39022faccf1adcc1b
Autor:
Meng Hee Lim, M. S. Leong
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
Some important information pertaining to blade fault is thought to be concealed in highly unsteady casing vibration. This paper explores suitable methods to best reconstruct blade related signals from raw casing vibration, which could be used for dia
Externí odkaz:
https://doaj.org/article/aefecbe235b84f80b40583613d6d921d
Autor:
Meng Hee Lim, M. S. Leong
Publikováno v:
Advances in Mechanical Engineering, Vol 5 (2013)
This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor blade rubbing conditions. In this paper, the time synchronised wavelet a
Externí odkaz:
https://doaj.org/article/d05ad004842c44cd9b74b5c0dd9b6128
Publikováno v:
Journal of Vibration Engineering & Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47700168489871ec5d3a0d7ca82ba936
https://doi.org/10.1007/s42417-022-00683-w
https://doi.org/10.1007/s42417-022-00683-w
Publikováno v:
MATEC Web of Conferences, Vol 255, p 06005 (2019)
Rolling element bearing (REB) is a well-known component that most extensively used in the industry. They operate in extreme condition (high temperature, dirty environment) which may lead to unexpected failure after the certain operation. Faulty on be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ce907c20079b10f2807f29bbd7b60a
https://doaj.org/article/67ca790f87194a2eb678ddbdb9ff8448
https://doaj.org/article/67ca790f87194a2eb678ddbdb9ff8448
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1062:012002
Rolling element bearing is an important component in various machinery. Faulty on bearing cause severe equipment damage that lead to high maintenance cost. The development of deep learning has been paid a considerable amount of attention to fault dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a532dc2a505496e56a9fadf6c896ce
https://doi.org/10.1088/1757-899x/1062/1/012002
https://doi.org/10.1088/1757-899x/1062/1/012002
Publikováno v:
Journal of Performance of Constructed Facilities. 32
Building floor vibration can cause discomfort to the occupants or worse structural damage to the building structure. This paper presents a study on unwanted building floor vibration induced...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::606e51132767a50bfc7546094047ea9d
https://doi.org/10.1061/(asce)cf.1943-5509.0001164
https://doi.org/10.1061/(asce)cf.1943-5509.0001164
Publikováno v:
Progress In Electromagnetics Research. 35:53-81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c8bde4a64a4d2894d73a859e758e1e
https://doi.org/10.2528/pier01042401
https://doi.org/10.2528/pier01042401
Publikováno v:
Progress In Electromagnetics Research. 35:165-182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::349cf3e28cc55376f6e1152288ceb4fd
https://doi.org/10.2528/pier01060503
https://doi.org/10.2528/pier01060503
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 49:210-213
In this paper, the Sonie-Schafheitlin integration formula and the sampling theorem are integrated into the conventional spectral-domain method to form an efficient and fast convergent hybrid method. As a simple demonstration of the method, the novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6710463889fa242b01fb56801ccc10b4
https://doi.org/10.1109/22.900012
https://doi.org/10.1109/22.900012