Internet of things enabled devices are considered one of the technologies for the future and at the same time, the mass use of IoT devices has revolutionised the way of using modern technology. Hence, with the mass im...
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This paper focuses on "safety filters" designed based on Control Barrier Functions (CBFs): these are modifications of a nominal stabilizing controller typically utilized in safety-critical control applicatio...
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Industrial motors have been widely used in various fields such as power generation, mining, and manufacturing. Various motor faults and time-consuming motor maintenance processes will lead to serious economic losses i...
Industrial motors have been widely used in various fields such as power generation, mining, and manufacturing. Various motor faults and time-consuming motor maintenance processes will lead to serious economic losses in this context. Different sensing technologies, including acceleration, acoustic, and current sensing can be useful in motor condition monitoring, defect detection, and diagnosis. Regarding sensing data analytics, Machine Learning (ML) and Deep Learning (DL) techniques have been increasingly investigated, because of their promising capabilities in complex data characterization and pattern recognition. However, the explainability of ML and DL models and their decision-making remains a challenge, because of their black-box modeling by nature. Shapley Additive Explanations (SHAP), as a game theoretic approach, provides a way to explain ML and DL modeling results, by allocating credits (known as SHAP values) through local connections to quantify the contributions of input features to model outputs. In this paper, three commonly seen ML techniques, including Support Vector Machine (SVM), Random Forest (RF), and Neural Network (NN) are investigated for vibration-based motor fault diagnosis. Corresponding SHAP explanation methods are applied to the three ML techniques to discover the most important vibration features in detecting motor conditions and differentiating faults. Explanation results from the three ML techniques demonstrate great consensus: average vibration frequency contributes most to motor fault diagnosis. This explanation conclusion matches the physical understanding that fault occurrences would bring in additional frequency components to the spectrum. Improving the physical explainability of ML and DL techniques would significantly improve their credibility and generalizability.
This paper presents a 1/10th scale MiniCity platform used as a testing bed for evaluating autonomous and connected vehicles. Using the MiniCity platform, we can evaluate different driving scenarios including human-dri...
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To eliminate the negative effect of traditional metal-working fluids and achieve sustainable manufacturing,the usage of nano-enhanced biolubricant(NEBL)is widely researched in minimum quantify lubrication(MQL)***'...
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To eliminate the negative effect of traditional metal-working fluids and achieve sustainable manufacturing,the usage of nano-enhanced biolubricant(NEBL)is widely researched in minimum quantify lubrication(MQL)***'s improved tool wear and surface integrity have been preliminarily verified by experimental *** previous review papers also concluded the major influencing factors of processability including nano-enhancer and lubricant types,NEBL concentration,micro droplet size,and so ***,the complex action of NEBL,from preparation,atomization,infiltration to heat transfer and anti-friction,is indistinct which limits preparation of process specifications and popularity in *** in the complex machining process,in-depth understanding is difficult and *** fll this gap,this paper concentrates on the comprehensive quantitative assessment of processability based on tribological,thermal,and machined surface quality aspects for NEBL application in turning,milling,and *** it attempts to answer mechanisms systematically considering multi-factor influence of molecular structure,physicochemical properties,concentration,and ***,this paper reveals advanced lubrication and heat transfer mechanisms of NEBL by quantitative comparison with biolubricant-based MQL ***,the distinctive filmformation,atomization,and infiltration mechanisms of NEBL,as distinguished from metal-working fluid,are clarified combining with its unique molecular structure and physical ***,the process optimization strategy is concluded based on the synergistic relationship analysis among process variables,physicochemical properties,machining mechanisms,and performance of ***,the future development directions are put forward aiming at current performance limitations of NEBL,which requires improvement on preparation and jet methods *** paper will help scientists deeply understand effective mec
Hydrogen is emerging as a promising alternative to fossil fuels in the transportation *** study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al Buraymi,a...
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Hydrogen is emerging as a promising alternative to fossil fuels in the transportation *** study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al Buraymi,and Salalah,using Hybrid Optimization of Multiple Electric Renewables(HOMER)*** hybrid energy systems,photovoltaic-wind turbine-battery,photovoltaic-battery,and wind turbine-battery were analyzed for each *** indicated that Duqm offers the lowest net present cost(NPC),levelized cost of energy,and levelized cost of hydrogen,making it the most cost-effective ***,Sensitivity analysis showed that as the life of electrolyzer increases during operation,the initial capital expenditure is distributed over a longer operational period,leading to a reduction in the *** so,renewable energy systems produced no emissions which supports Oman’s mission *** comprehensive analysis confirms the feasibility of establishing a hydrogen refueling station in Duqm,Oman,and highlights advanced optimization techniques’superior capability in designing cost-effective,sustainable energy systems.
Quadrupedal robots exhibit a wide range of viable gaits, but generating specific footfall sequences often requires laborious expert tuning of numerous variables, such as touchdown and lift-off events and holonomic con...
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