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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 …
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
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 …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
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 …
research attention and implementation in today's industrial activities, business intelligence …
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 …
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
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 …
generated from various sources like social media, internet of things and multimedia …
Predictive maintenance using tree-based classification techniques: A case of railway switches
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 …
maintenance due to budget cuts, the railway infrastructure is in a critical state and require …
A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
Review of fault detection techniques for predictive maintenance
Purpose This study aims to bring awareness to the develo** of fault detection systems
using the data collected from sensor devices/physical devices of various systems for …
using the data collected from sensor devices/physical devices of various systems for …
Explainable predictive maintenance: A survey of current methods, challenges and opportunities
Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …
of a mechanical system by using artificial intelligence and machine learning to predict the …