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Time series methods applied to failure prediction and detection
FP Garcia, DJ Pedregal, Clive Roberts
Electronic, Electrical and Systems Engineering
Research output
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Contribution to journal
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Article
63
Citations (Scopus)
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Dive into the research topics of 'Time series methods applied to failure prediction and detection'. Together they form a unique fingerprint.
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Keyphrases
Point Mechanisms
100%
Failure Prediction
100%
Time Series Methods
100%
Failure Detection
100%
Single Point
20%
Historical Records
20%
Autoregressive Integrated Moving Average (ARIMA)
20%
Regression Model
20%
Railway Network
20%
Railway
20%
Fatal Accidents
20%
Track Element
20%
Operating Cost
20%
Robust Algorithm
20%
Harmonic Regression
20%
Automatic Algorithm
20%
Service Points
20%
Computer Science
Large Data Set
100%
Operating Cost
100%
Moving Average
100%
Failure Detection
100%
Service Point
100%
Engineering
Railway
100%
Harmonics
50%
Moving Average
50%
Operating Cost
50%
Point Service
50%