Sensor data quality: A systematic review
HY Teh, AW Kempa-Liehr, KIK Wang - Journal of Big Data, 2020 - Springer
Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are
rendered useless if the data quality is bad. This systematic review aims to provide an …
rendered useless if the data quality is bad. This systematic review aims to provide an …
Recent advances in multifunctional sensing technology on a perspective of multi-sensor system: A review
Due to rapid advancement in technology, recently a significant amount of work has been
carried out in the field of multi-mode sensor and multifunctional sensor. A single unit of …
carried out in the field of multi-mode sensor and multifunctional sensor. A single unit of …
An intelligent fault analysis and diagnosis system for electromagnet manufacturing process based on fuzzy fault tree and evidence theory
J Pang, J Dai, Y Li - Mathematics, 2022 - mdpi.com
Because an electromagnet has a complex structure and manufacturing process, it is difficult
to analyze the overall failure of the electromagnet. In order to solve this problem, a fault …
to analyze the overall failure of the electromagnet. In order to solve this problem, a fault …
An unsupervised feature extraction method for nonlinear deterioration process of complex equipment under multi dimensional no-label signals
G Chen, J Chen, Y Zi, J Pan, W Han - Sensors and Actuators A: Physical, 2018 - Elsevier
The nonlinearity in complex equipment, such as turbofan engine and electric motor, is a
substantial factor. The nature of complex equipment deterioration refers to a nonlinear …
substantial factor. The nature of complex equipment deterioration refers to a nonlinear …
Detecting associations based on the multi-variable maximum information coefficient
T Gu, J Guo, Z Li, S Mao - IEEE Access, 2021 - ieeexplore.ieee.org
The maximum information coefficient (MIC) is a novel and widely-using measure of
association detection in large datasets. The most outstanding feature of MIC is that it has …
association detection in large datasets. The most outstanding feature of MIC is that it has …
Self-validating high-g accelerometers through data-driven methods
In the aerospace industry, pyroshock testing is an indispensable step in designing space
electronics. Yet, damages in high-g accelerometers, the core measuring instruments in …
electronics. Yet, damages in high-g accelerometers, the core measuring instruments in …
An interactive error-correcting approach for IoT-sourced event logs
M Shirali, Z Ahmadi, C Fernández-Llatas… - ACM Transactions on …, 2024 - dl.acm.org
Although Internet of Things (IoT) systems are widely used in various industries, they are
prone to data collection errors due to device limitations and environmental factors. These …
prone to data collection errors due to device limitations and environmental factors. These …
A process mining-based error correction approach to improve data quality of an IoT-sourced event log
M Shirali, Z Ahmadi, C Fernández-Llatas… - arXiv preprint arXiv …, 2024 - arxiv.org
Internet of Things (IoT) systems are vulnerable to data collection errors and these errors can
significantly degrade the quality of collected data, impact data analysis and lead to …
significantly degrade the quality of collected data, impact data analysis and lead to …
Concentration prediction of mixed gas based on PSO-LSTM
H Zhang, S Jiang, K Wang - Proceedings of the 2022 4th International …, 2022 - dl.acm.org
Metal oxide semiconductor sensors, due to the single selectivity of their gas-sensitive
materials, suffer from cross-talk when performing quantitative detection of mixed gases …
materials, suffer from cross-talk when performing quantitative detection of mixed gases …
Adaptive and Automated Anomaly Detection with Unsupervised Feature Engineering for IoT Sensor Data
HY Teh - 2022 - researchspace.auckland.ac.nz
In tandem with the advancement of Internet of Things (IoT) technologies, a growing number
of applications lean towards utilizing low-cost sensors for IoT deployments. Though cost …
of applications lean towards utilizing low-cost sensors for IoT deployments. Though cost …