Design of Industrial Wireless Sensor System for Real-Time Data Collection in Steam Turbines

Abstract

Wireless Sensors (WS) are utilized in industries, medical, greenhouses, and other applications to sense and monitor parameters required to control and utilize data. There are many challenges to implement WS networks such as collision, end-to-end delay, dead nodes and power consumption to name a few; however, the main challenge that face the implementation of WS are the sensing and transferring the data between the sensor and the system and the time taken. The time taken of a wired sensor to transfer data is undoubtedly slightly shorter than the time taken in WS. This paper intends to design WS that could reduce the data transfer time and compare the amount of transferred data and the time taken by the wired system. The WS design will be validated first by Bland-Altman method and data will be collected using MATLAB and the PLX-DAQ program. The results show that the amount and time taken to transfer data in WS is comparable to the wired system. The validated results suggested by this work are more than 95% in similarity to Bland-Altman. This led us to conclude that WS can be utilized with a multitude of applications in place of wired sensors.  Index Terms-industrial wireless sensor, real time processing, Bland-Altman plot, wireless speed sensor Aminudin Bin Haji Abu was born in Malaysia, in 1972. He received the Ph.D. in. Engineering Automotive Eng. from

Design and implementation of wireless system for vibration fault detection using fuzzy logic

“…3, September 2020: 545 -552 546 will be based on the power consumption, the distance of the transceiver, frequency band, and wireless network applications [8][9]. Industrial wireless sensor networks (IWSNs), such as ZigBee, IEEE 802.15.4, and ISA100 were utilized in many applications to augment the flexibility of data collection and reduce the cost of system implementation [10][11][12]. Researchers relied on IEEE standards such as ZigBee, and ISA 100 to gather data from industrial and greenhouse applications [13][14].…”