Wireless Sensor Network Technologies for Condition Monitoring of Industrial Assets

Giannoulis, Spilios; Koulamas, Christos; Emmanouilidis, Christos; Pistofidis, Petros; Karampatzakis, Dimitris

doi:10.1007/978-3-642-40361-3_5

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…In [18] a detailed study of different protocols in this ISM-2.4 band is made for industrial monitoring applications. The study concludes that when it comes to industrial monitoring, standard protocols either lack of deterministic features (e.g.…”

Section: Radio Modulementioning

confidence: 99%

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Herrasti

Val

Gabilondo

et al. 2016

Sensors and Actuators A: Physical

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Section: Radio Modulementioning

confidence: 99%

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Herrasti

Val

Gabilondo

et al. 2016

Sensors and Actuators A: Physical

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“…In this section, three widely used wireless network technologies are discussed, in order to investigate their pros and cons and also to select the appropriate technology for the work here. These technologies are [23], [24].…”

Section: Wireless Technology Selectionmentioning

confidence: 99%

Wireless Fault Detection System for an Industrial Robot Based on Statistical Control Chart

Jaber¹,

Bicker²

2017

IJECE

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Article history:Received Dec 7, 2016 Revised May 31, 2017 Accepted Jun 25, 2017 Industrial robots are now commonly used in production systems to improve productivity, quality and safety in manufacturing processes. Recent developments involve using robots cooperatively with production line operatives. Regardless of application, there are significant implications for operator safety in the event of a robot malfunction or failure, and the consequent downtime has a significant impact on productivity in manufacturing. Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation and thus reducing the maintenance costs. Developments in electronics and computing have opened new horizons in the area of condition monitoring. The aim of using wireless electronic systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to develop an online and wireless fault detection system for an industrial robot based on statistical control chart approach. An experimental investigation was accomplished using the PUMA 560 robot and vibration signal capturing was adopted, as it responds immediately to manifest itself if any change is appeared in the monitored machine, to extract features related to the robot health conditions. The results indicate the successful detection of faults at the early stages using the key extracted parameters.

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Section: Wireless Technology Selectionmentioning

confidence: 99%

Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery

Jaber

Bicker

2016

IJECE

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Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and have shown their practicality in fault detection and diagnosis processes. The main aim of using wireless embedded systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to design and develop an online condition monitoring system based on wireless embedded technology that can be used to detect and diagnose the most common faults in the transmission systems (gears and bearings) of an industrial robot joints using vibration signal analysis.

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Wireless Sensor Network Technologies for Condition Monitoring of Industrial Assets

Cited by 17 publications

References 6 publications

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Wireless Fault Detection System for an Industrial Robot Based on Statistical Control Chart

Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery

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