[HTML][HTML] A Hybrid Multi-Criteria Decision-Making approach for analysing operational hazards in heavy fuel oil-based power plants
Hazard identification and prioritisation practices are very important for power plants to
continue their operations without disruption. Systematic operational hazard analysis is not a …
continue their operations without disruption. Systematic operational hazard analysis is not a …
Hybrid deep learning model for fault detection and classification of grid-connected photovoltaic system
Effective fault detection and classification play essential roles in reducing the hazards such
as electric shocks and fire in photovoltaic (PV) systems. However, the issues of interest in …
as electric shocks and fire in photovoltaic (PV) systems. However, the issues of interest in …
A novel deep learning framework based RNN-SAE for fault detection of electrical gas generator
The electrical generator is the key part of the electrical generation system for the oil and gas
industry, and it is easy to fail, which disturbs the availability and reliability of the electrical …
industry, and it is easy to fail, which disturbs the availability and reliability of the electrical …
Risk evaluation for industrial smart product-service systems: An integrated method considering failure mode correlations
Industrial smart product-service systems (ISPS 2) is a complex and dynamic ICT-based
ecosystem of value co-creation among stakeholders, making the ISPS 2 implementation a …
ecosystem of value co-creation among stakeholders, making the ISPS 2 implementation a …
Classification of faults in grid-connected photovoltaic system based on wavelet packet transform and an equilibrium optimization algorithm-extreme learning machine
A novel intelligent scheme using the wavelet packet transform (WPT) and extreme learning
machine (ELM) is proposed for fault event classification in the grid-connected photovoltaic …
machine (ELM) is proposed for fault event classification in the grid-connected photovoltaic …
[HTML][HTML] Risk prioritization using a modified FMEA analysis in industry 4.0
To assess the reliability of production systems, a Failure Mode and Effects Analysis (FMEA)
is usually performed to determine how reliable a system is in its entirety. In order to ensure …
is usually performed to determine how reliable a system is in its entirety. In order to ensure …
Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach
B Efe - Ocean Engineering, 2019 - Elsevier
This paper contributes to improving the limitations of traditional failure mode and effect
analysis. This paper proposes a novel risk assessment approach using intuitionistic fuzzy …
analysis. This paper proposes a novel risk assessment approach using intuitionistic fuzzy …
Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model
The electrical generation industry is looking for techniques to precisely determine the proper
maintenance policy and schedule of their assets. Reliability-centered maintenance (RCM) is …
maintenance policy and schedule of their assets. Reliability-centered maintenance (RCM) is …
Risk profiling from the European statistics on accidents at work (ESAW) accidents′ databases: A case study in construction sites
The number of accidents and victims in the construction sector has not decreased
significantly despite the increasingly stricter laws and regulations. The analysis of accidents …
significantly despite the increasingly stricter laws and regulations. The analysis of accidents …
Identifying services barriers and risks in cloud kitchens: Insights from a novel risk assessment model
CC Cheng, MC Tsai, YY Chang, CT Chen - International Journal of …, 2025 - Elsevier
Most cloud kitchens offer only basic services, leading to numerous problems in the service
process that may cause customer dissatisfaction. Therefore, optimizing cloud kitchen …
process that may cause customer dissatisfaction. Therefore, optimizing cloud kitchen …