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

Jaber, Alaa Abdulhady; Bicker, Robert

doi:10.11591/ijece.v6i2.9296

Cited by 17 publications

(17 citation statements)

References 2 publications

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“…The wire (or whip) and chip antennas come pre-connected to the XBee modules, while the U.FL and RPSMA are derivatives of the connector types, offering chip with connectors on the board. However, based on preliminary communication range tests [26] was establish that the RPSMA (external) antenna is the best option in this research. Also, in WSN must be there is a node configured to work as a coordinator (or base station) [17] and the others as sensor nodes.…”

Section: Zigbee Module Selectionmentioning

confidence: 99%

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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: Zigbee Module Selectionmentioning

confidence: 99%

“…Many versions of firmware can be selected and written into a ZigBee module via RS232 or USB port, depending on the used interface board. For this purpose, the XBIB-U-DEV development kit from Digi International was employed [26]. …”

Section: Zigbee Module Selectionmentioning

confidence: 99%

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

Jaber¹,

Bicker²

2017

IJECE

Self Cite

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“…Current monitoring [18][19][20][21]. The method used for diagnosis [22] is accurate and remains one of the most used, but require expensive sensors or specialized tools. For that, and because the stator current harmonics measurement can provide the same indications without requiring access to the motor, in this paper, stator current monitoring is used.…”

Section: Analytical Model Of Cage Induction Machine Dedicated To the mentioning

confidence: 99%

Analytical Model of Cage Induction Machine Dedicated to the Study of the Inner Race Bearing Fault

Hadjami¹,

Razik²,

Oumaamar³

et al. 2018

IJECE

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This paper presents a new analytical model for inner bearing raceway defect. The model is based on the presentation of different machine inductances as Fourier series without any kind of reference frame transformation. The proposed approach shows that this model is able to give important features on the state of the motor. Simulation based on spectral analysis of stator current signal using Fast Fourier Transform (FFT) and experimental results are given to shed light on the usefulness of the proposed model.

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“…Recent research in the field of wireless sensor networks relays heavily on 802.11 and 802.15.4 protocols or their commercial counterparts, ZigBee and Wi-Fi protocols to implement the communication channel [3]. General ZigBee consumes less power and provides less communication range than Wi-Fi, hence it will be used for this project.…”

Section: Selection Of Wireless Technologymentioning

confidence: 99%

“…The processor unit represents is what gives intelligence to the WSN node. The selection of a processor unit for WSNs are highly dependent on the application's class [3]. The key requirement that should be considered when selecting a processor unit for building a WSN node is to achieve a balance between the cost and processing speed.…”

Section: B Selection Of Microcontrollermentioning

confidence: 99%

Design of Oil Pipeline Monitoring System based on Wireless Sensor Network

2018

IJCCCE

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The oil export industry dominates the economy of the world and it depends heavily on oil pipelines. Exposed pipelines are prone to malfunctioning due to intentional or unintentional tampering and vandalism, which is usually caused by damaging form of either knocking or drilling. Continuous structure health monitoring (SHM) of pipelines using conventional methods is difficult and expensive due to the extensive length of the pipelines and the harsh environment.Recent development in printed electronic circuits and microcontrollers open new possibilities in the field of monitoring and have proven their practicality in vibration monitoring process. This paper presents a monitoring system for pipeline heal of the structure based on the wireless sensor network. The system senses the pipeline vibration and relays the data to a base station for the procession. A WSN consists of three nodes is designed and implemented. Each node is built around 32-bit ARM core microcontroller, and equipped with an accelerometer to measure the pipeline vibration. The measurements of each sensor are collected wirelessly through ZigBee protocol to a base station. Results on a 2 m pipeline sample show the ability of the system to precisely detect damaging events e.g. knocking and drilling to the pipeline.Index Terms-WSN, structure health monitoring, MEMS, oil pipeline. I. INTRODUCTIONSThe recent advances in the field of communication transceivers, microcontrollers, and Micro-Electro-Mechanical Systems (MEMS) helped the emergence of a new type of wireless network for sensing and monitoring system called wireless sensors networks. These networks operate in an ad hoc manner, i.e. they do not require a preceding setup or a supporting infrastructure. They utilize new communications protocols built for small range network to cooperatively monitor and record measurements from phenomena of interest, then relay the recorded measurements to a base station. By using the wireless channel to communicate between the phenomena location and the base station, wireless sensor networks offer a reliable and simple scheme for deployment, control, and maintenance [1].Wireless Sensor Network (WSN) arrangements are in effect dynamically utilized in observing applications, for example, [2] who suggested a WSN for monitoring the environments including recorded data for any parameters such as lighting, gas, motion, and distance. a facility of interfacing of MATLAB with the Arduino microprocessor has exploiting to implement a flexible network. The data of each sensor is collected wirelessly exploiting the ZigBee protocol. In [3] a design for a wireless node with a vibration sensor is proposed for online monitoring of industrial machinery. The main focus is to design a wireless condition monitoring system to detect and diagnose the fault in mechanical transmissions systems (gears and bearings) using vibration signal analysis. The sensor node was used Size of Flash Memory 512 KB available to user for applications Size of SRAM 96 KB (two banks: 64 KB and 32 KB) Clock Speeds...

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

Cited by 17 publications

References 2 publications

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

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

Analytical Model of Cage Induction Machine Dedicated to the Study of the Inner Race Bearing Fault

Design of Oil Pipeline Monitoring System based on Wireless Sensor Network

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