Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Bach Phi Duong"'
Publikováno v:
Sensors, Vol 21, Iss 6, p 2102 (2021)
Bearings are complex components with onlinear behavior that are used to mitigate the effects of inertia. These components are used in various systems, including motors. Data analysis and condition monitoring of the systems are important methods for b
Externí odkaz:
https://doaj.org/article/783b292622904faabb523923bc1dfb87
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8800 (2020)
A new method is established to construct the 2-D fault diagnosis representation of multiple bearing defects from 1-D acoustic emission signals. This technique starts by applying envelope analysis to extract the envelope signal. A novel strategy is pr
Externí odkaz:
https://doaj.org/article/57b65a16d6f841bda4c328141d4611ca
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 1933 (2020)
Acoustic emission bursts are signal waveforms that include a number of consecutive imbrication transients with variable strengths and contain crucial information on the leakage phenomenon in a pipeline system. Detection and isolation of a burst again
Externí odkaz:
https://doaj.org/article/91cfc4578762434a8334cdd3263a2b79
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4368 (2019)
Advances in technology have enhanced the ability to detect leakages in boiler tube components in thermal power plants. As a specific issue, the interaction between the coal fuel stream and the boiler tube membrane generates random and high-amplitude
Externí odkaz:
https://doaj.org/article/0cd22455d8ac4c278703937eb861afe1
Autor:
Bach Phi Duong, Sheraz Ali Khan, Dongkoo Shon, Kichang Im, Jeongho Park, Dong-Sun Lim, Byungtae Jang, Jong-Myon Kim
Publikováno v:
Sensors, Vol 18, Iss 11, p 3740 (2018)
Estimation of the remaining useful life (RUL) of bearings is important to avoid abrupt shutdowns in rotary machines. An important task in RUL estimation is the construction of a suitable health indicator (HI) to infer the bearing condition. Conventio
Externí odkaz:
https://doaj.org/article/fcb38d1b19014fc5b3d2eca4e49984db
Autor:
Bach Phi Duong, Jong-Myon Kim
Publikováno v:
Sensors, Vol 18, Iss 4, p 1129 (2018)
The simultaneous occurrence of various types of defects in bearings makes their diagnosis more challenging owing to the resultant complexity of the constituent parts of the acoustic emission (AE) signals. To address this issue, a new approach is prop
Externí odkaz:
https://doaj.org/article/713881ce6f3f45a8b40e0f91fcab14f6
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 26:1325-1333
Dissolved gas analysis (DGA) of insulating oil in power transformers can offer valuable information related to faults. Due to the poor and unbalanced characteristics of typical DGA datasets, which threaten the generalization capability of artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9101c2ceaa10f73c7c6697c73d0406e4
https://doi.org/10.1109/tdei.2019.008034
https://doi.org/10.1109/tdei.2019.008034
Publikováno v:
Springer Proceedings in Physics ISBN: 9789811598364
This paper establishes a methodology to exploit the characteristics of burst waveform in acoustic emission (AE) signals and combine with the signal analysis process to enhance the accuracy of multi-level leak detection in steel pipelines. The AE burs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03def4387de898bc4012d500210fb414
https://doi.org/10.1007/978-981-15-9837-1_9
https://doi.org/10.1007/978-981-15-9837-1_9
Publikováno v:
Applied Sciences, Vol 10, Iss 8800, p 8800 (2020)
Applied Sciences
Volume 10
Issue 24
Applied Sciences
Volume 10
Issue 24
A new method is established to construct the 2-D fault diagnosis representation of multiple bearing defects from 1-D acoustic emission signals. This technique starts by applying envelope analysis to extract the envelope signal. A novel strategy is pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa718cdd330bba56d0b6559cf06a9be2
https://www.mdpi.com/2076-3417/10/24/8800
https://www.mdpi.com/2076-3417/10/24/8800
Autor:
Bach Phi Duong, Jong-Myon Kim
Publikováno v:
The Journal of the Acoustical Society of America. 146(4)
This letter proposes a nonlinear hybrid model method to assess a bearing component's health for long-term prediction of the remaining useful life (RUL) before a breakdown occurs. This model uses neural training of a recursive extreme learning machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e71ca8e26eef1affaaf63562b05cd9be
https://pubmed.ncbi.nlm.nih.gov/31672013
https://pubmed.ncbi.nlm.nih.gov/31672013