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Fault-tolerant model predictive control
2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010), 2010Model predictive control (MPC) has developed considerably in the last decades both in industry and in academia. This success is due to the fact that MPC is perhaps the most general way of posing the control problem in the time domain. One of the main advantages of MPC is that model uncertainties can be taken explicitly into account and this allows for ...
E F Camacho, T Alamo, D M de la Pena
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Class level fault prediction using software clustering
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2013Defect prediction approaches use software metrics and fault data to learn which software properties associate with faults in classes. Existing techniques predict fault-prone classes in the same release (intra) or in a subsequent releases (inter) of a subject software system.
Giuseppe Scanniello +4 more
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Fault Prediction of Electronic Equipment
Advanced Science and Technology Letters, 2015Fault prediction is the precondition of Condition Based Maintenance (CBM), accurate prediction for equipment can not only make warning before failure occurs, but also reduce the cost of maintenance of complicated equipment and system. This paper analyses some typical fault prediction method of electronic equipment, and presented improvement measures ...
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Fault-Threshold Prediction with Linear Programming Methodologies
Empirical Software Engineering, 2003This paper presents a new experimental methodology that operates on a series of programs structural parameters. We calculated some simple metrics on these parameters and then we applied linear programming techniques on them. It was therefore possible to define a model that can predict the risk level of a program, namely how prone it is to containing ...
PODGORELEC V, KOKOL P, PIGHIN, Maurizio
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Buildings predict their own faults
New Scientist, 2017Imagine a building that tells people that the heating is about to fail--a week before it happens. Some companies are using machine learning to do just that. It's called predictive maintenance. Software firm CGnal, based in Milan Italy, recently analyzed a year's worth of data from the heating and ventilation units in an Italian hospital.
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Types of Software Fault Prediction
2018A large number of researchers have presented various fault prediction studies to predict the fault-proneness of the given software system. These fault prediction studies reported the results in term of different–different contexts. Depending upon the context of the results, a fault prediction model can classify a software module into faulty or non ...
Sandeep Kumar, Santosh Singh Rathore
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Early Prediction of System Faults
2016A system will produce massive status data during its runtime, which contains rich status information. In this work, we target at detecting system faults as early as possible based on the system status data sequences. Firstly, we formalized the system fault detection into classification problem, in which different types of status data were integrated to
Li You, Lin Yu-Ming
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A survey on fault prediction and fault detection
AIP Conference Proceedings, 2023Megala Ranjith +3 more
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Vulnerability Prediction Against Fault Attacks
2016Fault-injection exploits hardware weaknesses to perturbate the behaviour of embedded devices. Here, we present new model-based techniques and tools to detect such attacks developed at the High-Security Laboratory at Inria.
Jafri, Nisrine +2 more
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