Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …

Research issues on closed-loop PLM

HB Jun, D Kiritsis, P Xirouchakis - Computers in industry, 2007 - Elsevier
This study introduces the research issues on closed-loop product lifecycle management
(PLM) where product information flow is closed due to emerging technologies. PLM is a new …

Revolutionizing solar energy with ai-driven enhancements in photovoltaic technology

A Mohammad, F Mahjabeen - … Jurnal Multidisiplin Ilmu, 2023 - journal.mediapublikasi.id
The important contribution of artificial intelligence (AI) to improving solar cell performance
and its effects on sustainability and the integration of renewable energy. The article covers a …

On condition based maintenance policy

JH Shin, HB Jun - Journal of Computational Design and …, 2015 - academic.oup.com
In the case of a high-valuable asset, the Operation and Maintenance (O&M) phase requires
heavy charges and more efforts than the installation (construction) phase, because it has …

Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts

KS Kiangala, Z Wang - The International Journal of Advanced …, 2018 - Springer
For the past recent years, Industry 4.0 (I40) also known as smart manufacturing, together
with advanced manufacturing techniques, has been introduced in the industrial …

A Bayesian network-based approach for fault analysis

HB Jun, D Kim - Expert Systems with Applications, 2017 - Elsevier
For high-value assets such as certain types of plant equipment, the total amount of
resources devoted to Operation and Maintenance may substantially exceed the resources …

Condition monitoring and predictive maintenance methodologies for hydropower plants equipment

A Betti, E Crisostomi, G Paolinelli, A Piazzi, F Ruffini… - Renewable Energy, 2021 - Elsevier
Hydropower plants are one of the most convenient option for power generation, as they
generate energy exploiting a renewable source, they have relatively low operating and …

Big data analytics for predictive maintenance strategies

CKM Lee, Y Cao, KH Ng - Supply Chain Management in the Big …, 2017 - igi-global.com
Maintenance aims to reduce and eliminate the number of failures occurred during
production as any breakdown of machine or equipment may lead to disruption for the supply …

Managing physical assets: a systematic review and a sustainable perspective

G Sandu, O Varganova, B Samii - International Journal of …, 2023 - Taylor & Francis
Contemporary organisations recognise the need for Anthropocene disruptions and
transform their business models, restructure their operations, and re-engineer their supply …

Hydroelectric generating unit fault diagnosis using 1-D convolutional neural network and gated recurrent unit in small hydro

GP Liao, W Gao, GJ Yang, MF Guo - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Machine learning algorithm based on hand-crafted features from the raw vibration signal
has shown promising results in the hydroelectric generating unit (HGU) fault diagnosis in …