Acid Number Prediction Model of Lubricating Oil Based on Mid-Infrared Spectroscopy

Autor: Fanhao Zhou, Kun Yang, Dayang Li, Xinfa Shi

Publikováno v: Lubricants, Vol 10, Iss 9, p 205 (2022)

The monitoring and replacement of lubricating oil has an important impact on mechanical equipment. In this study, based on the infrared spectroscopy monitoring method, an acid value index prediction model is established. The support vector machine re

Externí odkaz: https://doaj.org/article/bad69f6512ed445dbd38787af58cd911

Abnormal identification of oil monitoring based on LSTM and SVDD

Autor: Dayang Li, Huimin Gao, Kun Yang, Fanhao Zhou, Xinfa Shi

Publikováno v: Wear. :204793

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f95b2db17c536855dbc676952572ba3
https://doi.org/10.1016/j.wear.2023.204793

Research on Influence of Turbine Oil Bubbles on Oil Condition Monitoring

Autor: Fanhao Zhou, Kun Yang, Dayang Li, Huimin Gao, Xinfa Shi

Publikováno v: 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65be5a3cde057d92fff1d62efc1b1110
https://doi.org/10.1109/phm-yantai55411.2022.9942144

Altered baseline brain activity in experts measured by amplitude of low frequency fluctuations (ALFF): a resting state fMRI study using expertise model of acupuncturists.

Autor: Minghao Dong, Jun Li, Xinfa Shi, Shudan Gao, Shijun Fu, Zongquan Liu, Fanrong Liang, Qiyong Gong, Guangming Shi, Jie Tian

Publikováno v: Frontiers in Human Neuroscience; Mar2015, Vol. 9, p1-10, 10p

Fault Diagnosis Based on Principal Component Analysis and Support Vector Machine for Rolling Element Bearings.

Autor: Zhou, Zhicai, Liu, Dongfeng, Shi, Xinfa

Publikováno v: Practical Applications of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems & Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013); 2014, p795-803, 9p