A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
KS Awaisi, Q Ye, S Sampalli - IEEE Access, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) is an important technology employed in a variety of different
applications, such as transportation, healthcare, and manufacturing. In recent years, the …
applications, such as transportation, healthcare, and manufacturing. In recent years, the …
Explainable predictive maintenance
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions
between sophisticated intelligent systems and diverse individuals, including data scientists …
between sophisticated intelligent systems and diverse individuals, including data scientists …
Reliability-improved machine learning model using knowledge-embedded learning approach for smart manufacturing
Abstract Machine learning models play a crucial role in smart manufacturing by
revolutionizing industrial automation so as to boost productivity and product quality …
revolutionizing industrial automation so as to boost productivity and product quality …
Analysis of time series data generated from the internet of things using deep learning models
PS Yakoi, X Meng, S Cui, D Suleman, X Yang - IEEE Access, 2023 - ieeexplore.ieee.org
The ever-increasing widespread use of the Internet of Things and its applications has
generated massive amounts of data. IoT sensor-generated datasets typically have a time …
generated massive amounts of data. IoT sensor-generated datasets typically have a time …
Time Series Analysis in Compressor-Based Machines: A Survey
In both industrial and residential contexts, compressor-based machines, such as
refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and …
refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and …
Predictive Maintenance, Adversarial Autoencoders and Explainability
The transition to Industry 4.0 provoked a transformation of industrial manufacturing with a
significant leap in automation and intelligent systems. This paradigm shift has brought about …
significant leap in automation and intelligent systems. This paradigm shift has brought about …
[HTML][HTML] From fault detection to anomaly explanation: A case study on predictive maintenance
Predictive Maintenance applications are increasingly complex, with interactions between
many components. Black-box models are popular approaches based on deep-learning …
many components. Black-box models are popular approaches based on deep-learning …
Towards evaluation of Explainable Artificial Intelligence in streaming data
This study introduces a method to assess the quality of Explainable Artificial Intelligence
(XAI) algorithms in dynamic data streams, concentrating on the fidelity and stability of feature …
(XAI) algorithms in dynamic data streams, concentrating on the fidelity and stability of feature …
[PDF][PDF] Predictive maintenance of Urban Metro Vehicles: Classification of air production unit failures using machine learning
Predictive maintenance methods assist early detec-tion of failures and errors in machinery
before they reach critical stages. Predictive maintenance methods assist early detec-tion of …
before they reach critical stages. Predictive maintenance methods assist early detec-tion of …
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
Predictive Maintenance applications are increasingly complex, with interactions between
many components. Black box models are popular approaches based on deep learning …
many components. Black box models are popular approaches based on deep learning …