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 …

Recent advances in multifunctional sensing technology on a perspective of multi-sensor system: A review

BD Majumder, JK Roy, S Padhee - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

Self-validating high-g accelerometers through data-driven methods

J Wen, H Yao, Z Ji, B Wu, F Xu - Sensors and Actuators A: Physical, 2021 - Elsevier
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 …

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 …

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 …

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 …

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 …