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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Artigo
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Structure, Function and Regulation of the Hsp90 MachineryLi, Jing ; Buchner, JohannesBiomedical Journal, 2013-05, Vol.36 (3), p.106-117 [Periódico revisado por pares]United States: Medknow Publications Pvt LtdTexto completo disponível |
| 2 |
Material Type: Artigo
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Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in ChinaQian, Long ; Lu, Hua ; Gao, Qiang ; Lu, HualiangLand use policy, 2022-04, Vol.115, p.106008, Article 106008 [Periódico revisado por pares]Kidlington: Elsevier LtdTexto completo disponível |
| 3 |
Material Type: Artigo
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A review on data-driven fault severity assessment in rolling bearingsCerrada, Mariela ; Sánchez, René-Vinicio ; Li, Chuan ; Pacheco, Fannia ; Cabrera, Diego ; Valente de Oliveira, José ; Vásquez, Rafael E.Mechanical systems and signal processing, 2018-01, Vol.99, p.169-196 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
| 4 |
Material Type: Artigo
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Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosisPan, Haiyang ; Yang, Yu ; Li, Xin ; Zheng, Jinde ; Cheng, JunshengMechanical systems and signal processing, 2019-01, Vol.114, p.189-211 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
| 5 |
Material Type: Artigo
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A web mobile application for agricultural machinery cost analysisSopegno, Alessandro ; Calvo, Angela ; Berruto, Remigio ; Busato, Patrizia ; Bocthis, DionysisComputers and electronics in agriculture, 2016-11, Vol.130, p.158-168 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
| 6 |
Material Type: Artigo
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Machinery health prognostics: A systematic review from data acquisition to RUL predictionLei, Yaguo ; Li, Naipeng ; Guo, Liang ; Li, Ningbo ; Yan, Tao ; Lin, JingMechanical systems and signal processing, 2018-05, Vol.104, p.799-834 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
| 7 |
Material Type: Artigo
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A novel deep autoencoder feature learning method for rotating machinery fault diagnosisShao, Haidong ; Jiang, Hongkai ; Zhao, Huiwei ; Wang, FuanMechanical systems and signal processing, 2017-10, Vol.95, p.187-204 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
| 8 |
Material Type: Artigo
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Plant ESCRT Complexes: Moving Beyond Endosomal SortingGao, Caiji ; Zhuang, Xiaohong ; Shen, Jinbo ; Jiang, LiwenTrends in plant science, 2017-11, Vol.22 (11), p.986-998 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
| 9 |
Material Type: Artigo
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Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete featuresAhmed, H.O.A. ; Wong, M.L.D. ; Nandi, A.K.Mechanical systems and signal processing, 2018-01, Vol.99, p.459-477 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
| 10 |
Material Type: Artigo
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Applications of stochastic resonance to machinery fault detection: A review and tutorialQiao, Zijian ; Lei, Yaguo ; Li, NaipengMechanical systems and signal processing, 2019-05, Vol.122, p.502-536 [Periódico revisado por pares]Berlin: Elsevier LtdTexto completo disponível |
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