Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System

2018 ◽  
Vol 54 (2) ◽  
pp. 1072-1079 ◽  
Author(s):  
Yayu Peng ◽  
Wei Qiao ◽  
Liyan Qu ◽  
Jun Wang
Keyword(s):  
Wireless Sensor Network ◽  
Fault Detection ◽  
Wind Turbine ◽  
Sensor Network ◽  
Condition Monitoring ◽  
Fault Detection And Isolation ◽  
Wireless Sensor ◽  
Sensor Fault ◽  
Sensor Fault Detection ◽  
Condition Monitoring System

Intelligent Sensing in Multiagent-Based Wireless Sensor Network for Bridge Condition Monitoring System

2019 ◽  
Vol 6 (3) ◽  
pp. 5397-5410 ◽  
Author(s):  
Seno Adi Putra ◽  
Bambang Riyanto Trilaksono ◽  
Muhammad Riyansyah ◽  
Dina Shona Laila ◽  
Agung Harsoyo ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Wireless Sensor ◽  
Condition Monitoring System

scholarly journals SISTEM PEMANTAUAN KONSENTRASI CO KEBAKARAN HUTAN RIAU MENGGUNAKAN TEKNOLOGI WIRELESS SENSOR NETWORK (WSN) DAN INTERNET OF THINGS (IOT)

2019 ◽  
Vol 4 (2) ◽  
pp. 135-140
Author(s):  
Eko Prayitno ◽  
Desi Amirullah
Keyword(s):  
Carbon Monoxide ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Wireless Sensor ◽  
Test Results ◽  
Temperature And Humidity ◽  
Condition Monitoring System

The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm

Data—Driven Approach for Wind Turbine Actuator and Sensor Fault Detection and Isolation

2011 ◽  
Vol 44 (1) ◽  
pp. 8301-8306 ◽  
Author(s):  
Silvio Simani ◽  
Paolo Castaldi ◽  
Andrea Tilli
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Sensor Fault ◽  
Data Driven Approach ◽  
Sensor Fault Detection
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