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Other works that apply fault tolerance to MPI settings have been proposed, including the detection and correction of silent errors before they lead to system restart [36].
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Many of the applied fault detection algorithms can only be computed in certain operation ranges of the engine.
It applies fault injection to parameters of system calls and also to the memory segments that implement the microkernel being tested.
The GFLT technique applies fault tree, lambda-tau method, fuzzified data using different membership functions, alpha-cut based fuzzy arithmetic operations to compute some important reliability indices.
The AAR based approach developed in this paper employs auto-associative model to generate residuals from low cost on-board multivariate time series signal, then applies fault detection and diagnosis (FDD) models based on residuals.
The proposed model permits plastic hinge formations in the pipe due to incrementally applied fault movements, allows determination of the critical length of the pipeline and measure strains developed on the tension and compression sides in the pipe.
In [ 3], the authors proposed modeling cancer as faults in the signaling network and applied fault analysis for drug intervention to control the GRN.
The most investigated and applied fault-based test selection criterion is the mutant analysis [41], also known as mutation testing.
By applying faults on Bus-1, security of the line protection scheme at R14 and fault detection performances of the bus-protection scheme is evaluated.
It also applies fault-tree analysis, α-cut of vague set, and interval arithmetic operations of vague set to obtain fault interval and reliability interval of the system.
TBGFLT technique applies fault-tree, Lambda-Tau method, different membership functions, α-cut and the weakest t-norm (Tω) based approximate fuzzy arithmetic operations for evaluating fuzzy reliability of the system.
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