Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
Research issues on closed-loop PLM
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 …
(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 …
and its effects on sustainability and the integration of renewable energy. The article covers a …
On condition based maintenance policy
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 …
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 …
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 …
resources devoted to Operation and Maintenance may substantially exceed the resources …
Condition monitoring and predictive maintenance methodologies for hydropower plants equipment
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 …
generate energy exploiting a renewable source, they have relatively low operating and …
Big data analytics for predictive maintenance strategies
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 …
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 …
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 …
has shown promising results in the hydroelectric generating unit (HGU) fault diagnosis in …