Event-based fault detection for non-linear networked systems with multi-data transmission and output quantisation

2017 ◽  
Vol 11 (16) ◽  
pp. 2698-2706 ◽  
Author(s):  
Xiao-Lei Wang ◽  
Guang-Hong Yang
2013 ◽  
Vol 221 ◽  
pp. 534-543 ◽  
Author(s):  
Yong Zhang ◽  
Zhenxing Liu ◽  
Huajing Fang ◽  
Huabin Chen

2019 ◽  
Vol 11 (21) ◽  
pp. 6171 ◽  
Author(s):  
Jangsik Bae ◽  
Meonghun Lee ◽  
Changsun Shin

With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optimized for smart farms was implemented as an example, and resource management of sensors and actuators was provided using the oneM2M common platform. The effectiveness of the proposed fault-detection model was verified on an integrated management platform based on the Internet of Things by collecting and analyzing data. The results confirm that when a faulty sensor node is not separated from the network, unnecessary data transmission of other sensor nodes occurs due to continuous abnormal data transmission; thus, increasing energy consumption and reducing the network lifetime.


2020 ◽  
Vol 50 (11) ◽  
pp. 4643-4654 ◽  
Author(s):  
Huaicheng Yan ◽  
Jiangning Wang ◽  
Hao Zhang ◽  
Hao Shen ◽  
Xisheng Zhan

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