Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …
manufacturing sectors that have a considerable impact on sustainability and the …
[HTML][HTML] Artificial intelligence for electricity supply chain automation
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …
processes ranging from production to transportation and consumption of electricity. The …
Bearing performance degradation assessment using long short-term memory recurrent network
Bearing is commonly used in rotating machinery, and it is significant to monitor bearing
running states to ensure machine safety. Performance degradation assessment is an …
running states to ensure machine safety. Performance degradation assessment is an …
Designing value-driven solutions: The evolution of industrial product-service systems
Abstract Industrial Product-Service Systems (IPS²) have been increasingly researched and
practiced in a variety of fields and sectors. Nevertheless, such solutions are not as …
practiced in a variety of fields and sectors. Nevertheless, such solutions are not as …
Rolling bearing fault detection using continuous deep belief network with locally linear embedding
Rolling bearing fault detection is of crucial significance to enhance the availability, the
reliability and the security of rotating machinery. In this paper, a novel method called …
reliability and the security of rotating machinery. In this paper, a novel method called …
A literature survey on open platform communications (OPC) applied to advanced industrial environments
Extensive digitization and interconnection through networks have ushered in a number of
new paradigms over the last years: Internet of Things, cyber–physical systems, Industry 4.0 …
new paradigms over the last years: Internet of Things, cyber–physical systems, Industry 4.0 …
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm
G Vashishtha, R Kumar - Measurement Science and Technology, 2021 - iopscience.iop.org
Fluctuations in the head, discharge, and contaminants in the flow can damage parts of the
Pelton wheel. An artificial intelligence technique has been investigated for the automatic …
Pelton wheel. An artificial intelligence technique has been investigated for the automatic …
[HTML][HTML] Sources of vibration and their treatment in hydro power stations-A review
Vibration condition monitoring (VCM) enhances the performance of Hydro Generating
Equipment (HGE) by minimizing the damage and break down chances, so that equipment …
Equipment (HGE) by minimizing the damage and break down chances, so that equipment …
Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources
of energy. With every passing year, our dependency on renewable sources of energy is …
of energy. With every passing year, our dependency on renewable sources of energy is …
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 …