Design and FPGA implementation of intelligent fault detection in smart wireless sensor networks

Abstract EN

In this paper, both the design and hardware of Fault Detection (FD) in Wireless Sensor Network (WSN) was implemented using FPGA NI myRIO kit, wireless temperature sensors network with small size, low cost, and low power consumption.

Work data processing was performed using pattern recognition methods to detect residual generation.

LabVIEW software environment was employed for system performance.

In this paper.

The design of the hardware circuit NI myRIO kit received temperature from the sensors.

The examined system showed an ability to monitor and track any fault or fire that may occur; based on the results, if collected data is exceeded predetermined threshold, then the system is responding, a direct connection is using WIFI to process this data by In this paper, both the design and hardware of Fault Detection (FD) in Wireless Sensor Network (WSN) was implemented using FPGA NI myRIO kit, wireless temperature sensors network with small size, low cost, and low power consumption.

Work data processing was performed using pattern recognition methods to detect residual generation.

LabVIEW software environment was employed for system performance.

In this paper.

The design of the hardware circuit NI myRIO kit received temperature from the sensors.

The examined system showed an ability to monitor and track any fault or fire that may occur; based on the results, if collected data is exceeded predetermined threshold, then the system is responding, a direct connection is using WIFI to process this data by LabVIEW.