Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Hongzheng Fang"'
Publikováno v:
2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
As the key load transfer component of high-speed train, axle-box bearing plays important role of load bearing, wear reducing and resistance. At present, it is a very effective method to monitor the bearing state by monitoring the vibration signal of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de1301a451d8fb6e916a634edb1e90f7
https://doi.org/10.1109/sdpc49476.2020.9353181
https://doi.org/10.1109/sdpc49476.2020.9353181
Publikováno v:
2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
Aiming at the problems of random loss and fragment loss of monitoring data during the perception and transmission process, a virtual data service method based on autoregressive model optimized by particle filter is proposed. Firstly, the construction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efceec9067e18b94c0eb215655a12375
https://doi.org/10.1109/sdpc49476.2020.9353179
https://doi.org/10.1109/sdpc49476.2020.9353179
Autor:
Guoqing Pan, Jian Sun, Hongwei Ma, Jianrong Wei, Hongzheng Fang, Shuai Ren, He Xiaoqiong, Pu Zou
Publikováno v:
2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
The diagnostic and health management system are crucial to the monitoring, diagnosis, prognostic, and maintenance of large rotary machinery. In this work, we design the modular hardware based on PXI-bus and the architecture of software platform, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29a9809cc723225a96edcea445744379
https://doi.org/10.1109/sdpc49476.2020.9353136
https://doi.org/10.1109/sdpc49476.2020.9353136
Publikováno v:
2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
The structural health monitoring technology is crucial to the monitoring, diagnosis, prognostic, and maintenance of aircraft structures. In this work, we design the hierarchical hardware and modular software architecture, and then develop a structura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4baaafc4083a863a30f10312eff1d02
https://doi.org/10.1109/sdpc49476.2020.9353154
https://doi.org/10.1109/sdpc49476.2020.9353154
Autor:
Guo Yongfu, Guangzhi Yang, Zhang Xiaopeng, Zhang Xiangyan, Hongzheng Fang, Han Hongbo, Yang Ping, Wei Qin, Chen Xi, Liu Peng, Yufei Liu, Haixiao Zhuang
Publikováno v:
Advances in Astronautics Science and Technology. 1:243-253
A large number of space-to-earth observation results show that there is a clear correlation between the space electromagnetic disturbances and the occurrence of earthquakes. So, the application of satellite to capture electromagnetic precursors is on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7aefc831f6b6b9166c1e415a6b0147
https://doi.org/10.1007/s42423-018-0021-5
https://doi.org/10.1007/s42423-018-0021-5
Publikováno v:
2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
The working life of power system mainly depends on the life of the battery. The health state evaluation method is one of the key technologies of Prognostic and Health Management (PHM). According to the health evaluation result of the satellite batter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d533239ea2eecdf196320e398288d7e
https://doi.org/10.1109/sdpc.2019.00105
https://doi.org/10.1109/sdpc.2019.00105
Publikováno v:
2019 Prognostics and System Health Management Conference (PHM-Paris).
Health condition assessment method can effectively ensure the performance and health status of the key components and equipment of the spacecraft power supply system, enhance the efficiency of spacecraft in orbit. Aiming at the problems of health lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a95f5866668a485456f06fc403f548
https://doi.org/10.1109/phm-paris.2019.00032
https://doi.org/10.1109/phm-paris.2019.00032
Publikováno v:
2019 Prognostics and System Health Management Conference (PHM-Paris).
As a branch of machine learning, deep learning is characterized by multi-level learning to obtain different abstraction levels of raw data, thus improving the accuracy of the tasks such as classification and prediction. It brings a new idea of the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2712368e0cf802ed839b8237c52737c8
https://doi.org/10.1109/phm-paris.2019.00033
https://doi.org/10.1109/phm-paris.2019.00033
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b76721714e9f7e12e9833297c962b4f
https://doi.org/10.12783/dtcse/iciti2018/29126
https://doi.org/10.12783/dtcse/iciti2018/29126
Publikováno v:
2018 Prognostics and System Health Management Conference (PHM-Chongqing).
The structural health monitoring technology and its system based on piezoelectric transducers and Lamb waves were studied for the urgent demand of damage detection for aircraft composite structures. This article proposed an identification algorithm o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b020cb2340c7b560a589c530fafe2c23
https://doi.org/10.1109/phm-chongqing.2018.00134
https://doi.org/10.1109/phm-chongqing.2018.00134