FAILURE PREDICTION BY LUBRICANT ANALYSIS.

Mapping Intimacies ◽

10.2172/4501284 ◽

1967 ◽

Author(s):

N.H. Miller

Keyword(s):

Failure Prediction ◽

Lubricant Analysis

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Acoustic Emission Spectrum and Failure Prediction in Loaded Coal Specimens

Физико-технические проблемы разработки полезных ископаемых ◽

10.15372/ftprpi20170503 ◽

2017 ◽

Keyword(s):

Acoustic Emission ◽

Emission Spectrum ◽

Failure Prediction

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Fabrication of a Slope Failure Prediction Sensor using Miniaturized EC Sensor

IEEJ Transactions on Sensors and Micromachines ◽

10.1541/ieejsmas.133.278 ◽

2013 ◽

Vol 133 (9) ◽

pp. 278-283 ◽

Cited By ~ 4

Author(s):

Masato Futagawa ◽

Mitsuru Komatsu ◽

Hikofumi Suzuki ◽

Yuji Takeshita ◽

Yasushi Fuwa ◽

...

Keyword(s):

Slope Failure ◽

Failure Prediction

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BUSINESS FAILURE PREDICTION USING ROUGH SETS: A COMPARISON WITH MULTIVARIATE ANALYSIS TECHNIQUES

FUZZY ECONOMIC REVIEW ◽

10.25102/fer.1999.01.01 ◽

1999 ◽

Vol 04 (01) ◽

Cited By ~ 4

Author(s):

C. Zopounidis ◽

M. Doumpos ◽

R. Slowinski ◽

R. Susmaga ◽

A. I. Dimitras

Keyword(s):

Multivariate Analysis ◽

Rough Sets ◽

Failure Prediction ◽

Business Failure ◽

Analysis Techniques

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Failure Prediction of Composite Lugs Under Axial Loads

AIAA Journal ◽

10.2514/1.781 ◽

2003 ◽

Vol 41 (11) ◽

Author(s):

Christos Kassapoglou ◽

William A. Townsend

Keyword(s):

Failure Prediction ◽

Axial Loads

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A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies

The Journal of Risk Model Validation ◽

10.21314/jrmv.2017.170 ◽

2017 ◽

Vol 11 (2) ◽

pp. 43-64 ◽

Cited By ~ 6

Author(s):

Jiaming Liu ◽

Chong Wu

Keyword(s):

Decision Tree ◽

Empirical Model ◽

Model Evaluation ◽

Failure Prediction ◽

Listed Companies ◽

Gradient Boosting ◽

Chinese Listed Companies ◽

Tree Approach

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'Small Can Be Vulnerable': Failure Prediction of Unlisted Companies

SSRN Electronic Journal ◽

10.2139/ssrn.1869431 ◽

2011 ◽

Author(s):

Ranadeva Jayasekera

Keyword(s):

Failure Prediction

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Multi-instance deep learning based on attention mechanism for failure prediction of unlabeled hard disk drives

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3068180 ◽

2021 ◽

pp. 1-1

Author(s):

Guochao Wang ◽

Yu Wang ◽

Xiaojie Sun

Keyword(s):

Deep Learning ◽

Hard Disk Drives ◽

Failure Prediction ◽

Hard Disk ◽

Attention Mechanism ◽

Disk Drives

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Flow shop failure prediction problem based on Grey-Markov model

Personal and Ubiquitous Computing ◽

10.1007/s00779-021-01618-0 ◽

2021 ◽

Author(s):

Kai Guo ◽

Jiyao Zhao ◽

Yan Liang

Keyword(s):

Markov Model ◽

Flow Shop ◽

Failure Prediction ◽

Prediction Problem

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A Failure Prediction Model for Large Scale Cloud Applications using Deep Learning

2021 IEEE International Systems Conference (SysCon) ◽

10.1109/syscon48628.2021.9447141 ◽

2021 ◽

Author(s):

Mohammad S. Jassas ◽

Qusay H. Mahmoud

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Large Scale ◽

Failure Prediction ◽

Cloud Applications

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Failure prediction of rear axle of a three wheeler vehicle by dynamic analysis: Computational approach

Materials Today Proceedings ◽

10.1016/j.matpr.2021.02.002 ◽

2021 ◽

Author(s):

Rajesh P. Verma ◽

Manoj Singh ◽

Manish Kumar Lila

Keyword(s):

Dynamic Analysis ◽

Rear Axle ◽

Failure Prediction ◽

Computational Approach

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