Algorithms and Intelligent Sensors Technique for Fusion Processing to Find Fault Sensor Localization in Approximate Agreement Method

Sensor fusion is the combining of sensory data or data derived from sensory data from disparate sources such that the resulting information is in some sense better than would be possible when these sources were used individually. Data fusion is an effective way for optimum utilization of large volumes of data from multiple sources. Multi-sensor data fusion seeks to combine information from multiple sensors and sources to achieve inferences that are not feasible from a single sensor or source. The fusion of information from sensors with different physical characteristics enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. Here we compare the approximate algorithm with Intelligent Sensors fusion algorithm and introduce expected value for intelligent sensor and we have analyzed BI Hybrid algorithm with Efficient JSI for Intelligent Sensors and produce a new Algorithm Safest Resultant PDF for getting better result for Intelligent Sensors.