After detailing the network architecture, we explore fundamental system design issues such as real-time fault localization algorithms, fault notification delay upperbounds, and delay line calculation algorithms for synchronous operation.
At the same time, it is proved that the fault localization accuracy of MBFL with DMES is the same as that of the original MBFL.
Fiber loss, fiber fault localization and automatic protection switching in each ONU are real-time monitored in central office (CO) without interrupting customer service.
In [31], the fault localization problem is analyzed in the power networks by using the electromagnetic time reversal technique.
Our study of fault localization on various Java subjects indicates that PrioSlice can help localize faults much more effectively than existing static-slicing approaches.
The automated diagnostic system comprises three stages: fault detection, fault localization and fault severity identification.
Due to the increased complexity fault localization is necessary.
In the approach, three neural networks are used for fault detection and preliminary fault localization.
Mutation-based fault localization (MBFL) is a recently proposed fault localization approach via mutation analysis, which uses the location of mutants to identify the faulty statements.
However, most of the existing fault localization approaches do not consider the fact that programs tend to have multiple faults.
