Propulsion System Modelling for Condition Monitoring and Control: A Status Report

1994 ◽  
Author(s):  
A. J. Helmicki ◽  
S. Jaweed ◽  
K. Kolcio
Keyword(s):  
Condition Monitoring ◽  
Propulsion System ◽  
Status Report ◽  
System Modelling ◽  
Monitoring And Control ◽  
And Control

scholarly journals False Alarms Analysis of Wind Turbine Bearing System

2020 ◽  
Vol 12 (19) ◽  
pp. 7867 ◽  
Author(s):  
Ana María Peco Chacón ◽  
Isaac Segovia Ramírez ◽  
Fausto Pedro García Márquez
Keyword(s):  
Wind Speed ◽  
Condition Monitoring ◽  
Wind Farms ◽  
Data Partitioning ◽  
False Alarms ◽  
Monitoring And Control ◽  
Condition Monitoring Systems ◽  
Mining Centers ◽  
Critical Components ◽  
And Control

Wind turbines are complex systems that use advanced condition monitoring systems for analyzing their health status. The gearbox is one of the most critical components due to its elevated downtime and failure rate. Supervisory Control and Data Acquisition systems are employed in wind farms for condition monitoring and control in real time. The volume and variety of the data require novel and robust techniques for data analysis. The main novelty of this work is the development of a new modelling of the temperature curve of the gearbox bearing versus wind speed to detect false alarms. An approach based on data partitioning and data mining centers is employed. The wind speed range is divided into intervals to increase the accuracy of the model, where the centers are considered representative samples in the modelling. A method based on the alarm detection is developed and studied together with the alarms report provided by a real case study. The results obtained allow the identification of critical alarm periods outside the confidence interval. It is validated that the study of alarm identification, pre-filtered data, state variable, and output power contribute to the detection of the false alarms.

Remote Condition Monitoring and Control of Standby Diesel Generators

1992 ◽  
Vol 25 (6) ◽  
pp. 164-168
Author(s):  
R Perryman ◽  
M Reynolds ◽  
S Strudwick
Keyword(s):  
Condition Monitoring ◽  
Monitoring And Control ◽  
Diesel Generators ◽  
And Control

Wireless Condition Monitoring and Control of Air Compressor Fleet System Based on the Internet of Things

2014 ◽  
Vol 1027 ◽  
pp. 294-297
Author(s):  
Ye Ming Zhang ◽  
Zhi Guo Li ◽  
Mao Li Cai
Keyword(s):  
Energy Efficiency ◽  
Condition Monitoring ◽  
Test System ◽  
Monitoring And Control ◽  
Health Maintenance ◽  
Air Compressor ◽  
Energy Saving Potential ◽  
Optimization Control ◽  
And Control ◽  
The Internet Of Things

The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.

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