Vote for your favorite mineral in #MinCup25! - Kosmochlor vs. Azurite
It's a battle of green vs blue as rare but vibrant chromium-bearing kosmochlor up against the deep blue copper alteration mineral azurite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Yan, Yan, Li, Ting, Liu, Jie, Wang, Wubin, Su, Qian (2019) Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics. Scientific Reports, 9. doi:10.1038/s41598-019-43146-1

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMonitoring and early warning method for a rockfall along railways based on vibration signal characteristics
JournalScientific Reports
AuthorsYan, YanAuthor
Li, TingAuthor
Liu, JieAuthor
Wang, WubinAuthor
Su, QianAuthor
Year2019 (December)Volume9
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41598-019-43146-1Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID4806241Long-form Identifiermindat:1:5:4806241:3
GUID0
Full ReferenceYan, Yan, Li, Ting, Liu, Jie, Wang, Wubin, Su, Qian (2019) Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics. Scientific Reports, 9. doi:10.1038/s41598-019-43146-1
Plain TextYan, Yan, Li, Ting, Liu, Jie, Wang, Wubin, Su, Qian (2019) Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics. Scientific Reports, 9. doi:10.1038/s41598-019-43146-1
In(2019) Scientific Reports Vol. 9. Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Li, Taoying, Song, Runyu, Yin, Qian, Gao, Mingyue, Chen, Yan (2019) Identification of S-nitrosylation sites based on multiple features combination. Scientific Reports, 9. doi:10.1038/s41598-019-39743-9
Li, Zhen-Hang, Guan, Yan-Lei, Liu, Qiang, Wang, Yao, Cui, Run, Wang, Yun-Jie (2019) Astrocytoma progression scoring system based on the WHO 2016 criteria. Scientific Reports, 9. doi:10.1038/s41598-018-36471-4
Wang, Fang, Yang, Qian-wen, Zhao, Wen-Jie, Du, Qi-Yan, Chang, Zhong-Jie (2019) Selection of suitable candidate genes for miRNA expression normalization in Yellow River Carp (Cyprinus carpio. var). Scientific Reports, 9. doi:10.1038/s41598-019-44982-x
Xue, Yong-An, Zou, You-Feng, Li, Hai-Ying, Zhang, Wen-Zhi (2024) Regional subsidence monitoring and prediction along high-speed railways based on PS-InSAR and LSTM. Scientific Reports, 14 (1). doi:10.1038/s41598-024-76485-9
Liu, Jie, Pan, Jiadong, Liu, Qi, Xu, Yan (2024) Experimental study on the interface characteristics of geogrid-reinforced gravelly soil based on pull-out tests. Scientific Reports, 14 (1) doi:10.1038/s41598-024-59297-9
Xu, Yan, Xing, Li, Su, Jessica, Zhang, Xuekui, Qiu, Weiliang (2019) Model-based clustering for identifying disease-associated SNPs in case-control genome-wide association studies. Scientific Reports, 9. doi:10.1038/s41598-019-50229-6
Yan, Weikai (2019) LG biplot: a graphical method for mega-environment investigation using existing crop variety trial data. Scientific Reports, 9. doi:10.1038/s41598-019-43683-9
Feng, Jie, Li, Yifei, Wang, Jinguang, Li, Dazhang, Li, Fang, Yan, Wenchao, Wang, Weimin, Chen, Liming (2019) Gamma-ray emission from wakefield-accelerated electrons wiggling in a laser field. Scientific Reports, 9. doi:10.1038/s41598-019-38777-3
Xie, Shenghua, Liu, Han, Su, Li, Shen, Jie, Miao, Junwang, Huang, Duo, Zhou, Mi, Liu, Huiruo, Li, Yan, Yin, Lixue, et al. (2024) A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra. Scientific Reports, 14 (1). doi:10.1038/s41598-024-78861-x
Shi, Bo, Wang, Lili, Yan, Chang, Chen, Deli, Liu, Mulin, Li, Peng (2019) Nonlinear heart rate variability biomarkers for gastric cancer severity: A pilot study. Scientific Reports, 9. doi:10.1038/s41598-019-50358-y
Nie, Xiao-Jun, Zhang, He-Bing, Su, Yan-Yan (2019) Soil carbon and nitrogen fraction dynamics affected by tillage erosion. Scientific Reports, 9. doi:10.1038/s41598-019-53077-6
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 9, 2025 22:28:09
Go to top of page