Results 201 to 210 of about 18,199 (263)

SPHT-LSTM: a novel industrial equipment condition prediction method. [PDF]

Sci Rep
Hu B, Zhang Y, Guo J, Jing F.
europepmc   +1 more source

Multi-scale fractures and faults in tight reservoirs: from characterization to engineering applications. [PDF]

Sci Rep
Li H, Li Q.
europepmc   +1 more source

A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS. [PDF]

Sensors (Basel)
Zhang M, Xu A.
europepmc   +1 more source

An edge-cloud collaborative fault diagnosis method for high-resistivity faults in low-voltage distribution networks considering metering uncertainties. [PDF]

Sci Rep
Cheng B, Sun S, Li S, Zhang Y, Li Y, Zhang Y.   +5 more
europepmc   +1 more source

BRICK-Automated Virtual Temperature Sensors for Sensor Fault Detection, Isolation, and Discrimination in Smart-Building HVAC Systems. [PDF]

Sensors (Basel)
Chahine K, Noura HN.
europepmc   +1 more source

DeepTrackSecure: an integrated classification-detection system with predictive risk analytics for proactive railway safety management. [PDF]

Front Artif Intell
Balakrishnan P, Leema AA, Suresh Nagarajan S, Rashmika KS, Rahul Kumar J.   +4 more
europepmc   +1 more source

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A study on software fault prediction techniques

Artificial Intelligence Review, 2017
Software fault prediction aims to identify fault-prone software modules by using some underlying properties of the software project before the actual testing process begins.
Sandeep Kumar, Santosh Singh Rathore
exaly   +2 more sources

Clustering for Fault Prediction with CLUFFP

2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014
In this tool demonstration paper, we present CLUFFP (Clustering For Fault Prediction) an Eclipse plug-in to group source code classes. The clustering approach implemented in our Eclipse plug-in has been successfully applied in the context of fault prediction of object oriented software systems.
Trillo, E., Tognotta, G. G., SCANNIELLO, GIUSEPPE   +2 more
openaire   +1 more source

Probabilistic fault prediction of incipient fault

2010 Chinese Control and Decision Conference, 2010
In this work, a probabilistic fault prediction approach is presented for prediction of incipient fault in an uncertain way. The approach has two stages. In the first stage, normal data is analyzed by principle component analysis (PCA) to get control limits of the statistics of T2 and SPE.
Zhen Zhao, Fuli Wang, null Mingxing Jia, Shu Wang   +3 more
openaire   +1 more source