Remote online machine condition monitoring system

Pan, Min; Li, Po Ching; Cheng, Yong Ren

doi:10.1016/j.measurement.2008.01.004

Cited by 35 publications

(18 citation statements)

References 15 publications

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“…In this research, the DAQ works not only as a data collection device but also a machine controller. It has a two-way communication capability for input and output, such as analogue input for data acquisition and analogue output for control [14]. When the analogue output is triggered, the DAQ converts the digital command data into an analogue output voltage, which is then transferred to the unit controlled.…”

Section: System Controlmentioning

confidence: 99%

A novel remote control system for air conditioning in low carbon emission buildings using sensor fusion and mobile communication technologies

Peng

Higginson

2019

Building and Environment

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Water-cooled air conditioning units have huge potential for providing a low carbon emission solution to controlling the temperature and humidity of commercial and domestic buildings as they do not rely on hazardous refrigerant materials in their operation unlike most present devices. Currently, however, its use is limited in high humidity areas due to low cooling efficiency and no effective method for controlling this type of system remotely. This research developed a novel remote-controlled system for use with airconditioning units utilising solid desiccant dehumidifiers which can be employed to create low carbon emission buildings. The system employs multiple information technologies such as sensor fusion, digital input/output communication and mobile technologies to monitor and control the internal conditions of air-conditioned buildings and provides data collection, data processing, system control, and mobile access. The data collection module is built based on sensor fusion technologies to detect the operating status of the conditioned air. The real-time data processing module is implemented with feature extraction and non-linearization computing to process received data and transmit commands to a control unit. A case study involved monitoring and controlling the working conditions of a solid desiccant dehumidifier employed in an air conditioning unit. Remote control of the process was performed by tuning a NI-DAQ controller's parameters to regulate humidity, temperature, flow rates and other conditions in the unit. A mobile phone was utilised to demonstrate the remote-control function. The results prove that the system developed is successful in controlling the operation of water-cooled air conditioning units.

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Section: System Controlmentioning

confidence: 99%

A novel remote control system for air conditioning in low carbon emission buildings using sensor fusion and mobile communication technologies

Peng

Higginson

2019

Building and Environment

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“…The data of the working conditions of TEGs are acquired using thermocouples/sensors and data I/O interfaces [4] . Several thermocouples/sensors are set up in TEGs to collect the working condition data, such as temperature, water flow-rate, and output voltage/current.…”

Section: Overview Of the Remote Condition Monitoring System Of Thermomentioning

confidence: 99%

Internet-based remote monitoring system of thermo-electric-generations with mobile communication technology

Peng

2016

IJMPT

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Abstract.A remote online condition monitoring system for Thermo-Electric-Generations (TEGs) is reported in this paper, which is applied in sustainable buildings. The system monitors the electrical power and heat energy generated by TEGs and to regulate the temperature of cold side of thermoelectric (TE) units used in the TEGs. The system provides the following major functions: data acquisition, data processing, system control and remote communication. The data acquisition module is built up within this system based on sensor technology and data I/O communication to acquire the data of working conditions of TEGs. System control is implemented by sending the commands to the control unit of the water valve for adjusting the temperature of cold side of TE units. The system has been validated by carrying out a case study of remote monitoring the working conditions of TEGs.Biographical notes: Wenjie Peng received his PhD in 2011 and now works as a research fellow and part time lecturer in the Advanced Design and Manufacturing Engineering Centre, Nottingham Trent University. He has expertise in application of condition monitoring, Internet technology, wireless, mobile techniques and grid computing into engineering and sustainability. With such expertise, he has made successful contributions to several projects sponsored by East Midlands, EMDA sustainable Construction iNET, EU Marie Curie, FP7 cycLED, and FP7 Eco-Cost programmes.

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“…Condition monitoring (CM) is one of the best approaches to increase the availability and reduce the operations and maintenance costs for wind turbines (WTs). Condition monitoring systems [1,2] include sensors and signal processing equipment to provide continuous indications of the state of a component, and are based on techniques including vibrational analysis, acoustics, oil analysis, strain measurement, and thermography. Furthermore, monitoring may be on-line to obtain the condition status in real time, or off-line to analyze the collected data in detail [3].…”

Section: Introductionmentioning

confidence: 99%

“…The EMD is widely applied in CM WTs for its superior abilities to process nonlinear and non-stationary signals [23,24]. Nevertheless, the EMD decomposes the CM signal in recursive calculation, which limits its application due to several drawbacks: (1) The efficiency of the EMD is decreased in the processing period since the algorithm of the EMD adopts recursive calculation; (2) The error developed in the upper and lower envelop estimation will spread in the recursive decomposition results; and (3) The intrinsic mode functions decomposed by the EMD are not band-limited, which creates a mode mixing problem. As a consequence, there have been many studies using EMD, such as the application of ensemble EMD and bivariate EMD in the condition monitoring of wind turbines [25,26].…”

Section: Introductionmentioning

confidence: 99%

Condition Monitoring for Roller Bearings of Wind Turbines Based on Health Evaluation under Variable Operating States

Wei

Fang

et al. 2017

Energies

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Condition monitoring (CM) is used to assess the health status of wind turbines (WT) by detecting turbine failure and predicting maintenance needs. However, fluctuating operating conditions cause variations in monitored features, therefore increasing the difficulty of CM, for example, the frequency-domain analysis may lead to an inaccurate or even incorrect prediction when evaluating the health of the WT components. In light of this challenge, this paper proposed a method for the health evaluation of WT components based on vibration signals. The proposed approach aimed to reduce the evaluation error caused by the impact of the variable operating condition. First, the vibration signal was decomposed into a set of sub-signals using variational mode decomposition (VMD). Next, the sub-signal energy and the probability distribution were obtained and normalized. Finally, the concept of entropy was introduced to evaluate the health condition of a monitored object to provide an effective guide for maintenance. In particular, the health evaluation for CM was based on a performance review over a range of operating conditions, rather than at a certain single operating condition. Experimental investigations were performed which verified the efficiency of the evaluation method, as well as a comparison with the previous method.

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Remote online machine condition monitoring system

Cited by 35 publications

References 15 publications

A novel remote control system for air conditioning in low carbon emission buildings using sensor fusion and mobile communication technologies

A novel remote control system for air conditioning in low carbon emission buildings using sensor fusion and mobile communication technologies

Internet-based remote monitoring system of thermo-electric-generations with mobile communication technology

Condition Monitoring for Roller Bearings of Wind Turbines Based on Health Evaluation under Variable Operating States

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