Some common reasons for the failures may be manufacturing and design faults, maintenance faults raw material faults, material processing faults as well as the user originated faults.
Considering network redundancy mechanism, priority division, network flow, fault recovery, processing capacity of CPU and network card of devices on bay level and process level, and application demand, the shared-network scheme of SMV and GOOSE is researched in this paper.
The operators mainly use TDN for quick fault-processing without any active network management (ANM) strategies even when it is equipped with the distribution management system (DMS), distribution automation or advanced metering infrastructure (AMI).
In this paper, SSI is employed to extract fault features by processing the collected vibration signal of the wind turbine.
A combination of condition monitoring systems is proposed to achieve the discrimination; with detection techniques derived from current and vibration signatures for both faults using signal processing techniques.
Second, for the purpose of fault detection efficient signal processing algorithms are presented, which enable detection and isolation of faults with mechanical origin and faults with aerodynamic origin.
This promotes additional fault tolerance by protecting the ingestion process from faults that originate from data processing components Extensibility The simulation illustrates the aggregation and contextualisation component that is responsible for preparing data for analysis.
In this paper, we present the design and implementation of SAND, a fault-tolerant distributed stream processing system for network analytics.
The key contributions of the MapReduce are scalability and fault-tolerance achieved when processing massive data on a large cluster.
The performance of traditional intelligent fault diagnosis methods depend on feature extraction of fault signals, which requires signal processing techniques, expert knowledge, and human labor.
