Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review

MS Mirnaghi, F Haghighat - Energy and Buildings, 2020 - Elsevier
Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

A Diez-Olivan, J Del Ser, D Galar, B Sierra - Information Fusion, 2019 - Elsevier
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods

AR Abbasi - Electric Power Systems Research, 2022 - Elsevier
A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …

The state of the art and taxonomy of big data analytics: view from new big data framework

A Mohamed, MK Najafabadi, YB Wah… - Artificial intelligence …, 2020 - Springer
Big data has become a significant research area due to the birth of enormous data
generated from various sources like social media, internet of things and multimedia …

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022 - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets

PMS Sánchez, JMJ Valero, AH Celdrán… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …

Predictive maintenance using tree-based classification techniques: A case of railway switches

ZA Bukhsh, A Saeed, I Stipanovic, AG Doree - Transportation Research Part …, 2019 - Elsevier
With growing service demands, rapid deterioration due to extensive usage, and limited
maintenance due to budget cuts, the railway infrastructure is in a critical state and require …

Predictive maintenance on the machining process and machine tool

A Jimenez-Cortadi, I Irigoien, F Boto, B Sierra… - Applied Sciences, 2019 - mdpi.com
This paper presents the process required to implement a data driven Predictive
Maintenance (PdM) not only in the machine decision making, but also in data acquisition …

Review of fault detection techniques for predictive maintenance

D Divya, B Marath, MB Santosh Kumar - Journal of Quality in …, 2023 - emerald.com
Purpose This study aims to bring awareness to the developing of fault detection systems
using the data collected from sensor devices/physical devices of various systems for …