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Book ChapterDOI

Instrumentation for Wireless Condition Monitoring of Induction Machine

TLDR
The instrumentation setup for wireless condition monitoring of induction machine in a laboratory environment, where four parameters, viz., stator voltage, current, body temperature, and rotor speed were sensed and fed to a dedicated hardware unit.
Abstract
In this paper, we describe the instrumentation setup for wireless condition monitoring of induction machine in a laboratory environment. Four parameters, viz., stator voltage, current, body temperature, and rotor speed were sensed and fed to a dedicated hardware unit (DHU). This DHU was operated using commands from a desktop computer, acting as an operator station. An Arduino Uno board was used as the data collection unit of the DHU and interfacing to the ZigBee module. Data packets with all four sensed parameters of 5 s duration was continuously collected and transferred to the operator station for real-line display in a graphical user interface. All parameters had less than 1% error in their measurements.

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Journal ArticleDOI

Technology developments in structural health monitoring of large-scale bridges

TL;DR: The importance of implementing long-term structural health monitoring systems for large-scale bridges, in order to secure structural and operational safety and issue early warnings on damage or deterioration prior to costly repair or even catastrophic collapse, has been recognized by bridge administrative authorities.
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Wireless Sensor Network Applications: A Study in Environment Monitoring System

TL;DR: This paper discusses and review wireless sensor network applications for environmental monitoring and proves that these approaches can improve the system performance, provide a convenient and efficient method and can also fulfill functional requirements.
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Crop condition and yield simulations using Landsat and MODIS

TL;DR: In this paper, a field study was conducted in the predominantly corn and soybean area of Iowa to evaluate the applicability of the 8-day MODIS composite imagery in operational assessment of crop condition and yields.
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Wind turbine condition monitoring by the approach of SCADA data analysis

TL;DR: In this article, the authors developed an effective method for processing raw SCADA data, and proposed an alternative condition monitoring technique based on investigating the correlations among relevant SCADA and realized the quantitative assessment of the health condition of a turbine under varying operational conditions, which has a potential powerful capability in detecting incipient wind turbine blade and drive train faults, but also exhibits an amazing ability in tracing their further deterioration.
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Gas sensor network for air-pollution monitoring

TL;DR: In this article, a gas sensor system is used as a sensing node to form a dense real-time environmental monitoring network and a new auto-calibration method is proposed to achieve the maintenance-free operation of the sensor network.