Edilson Machado de Assis
Papers
1
Total Citations
12
H-Index
1
About
Edilson Machado de Assis is a researcher whose work bridges reliability engineering and applied statistical modeling, with a particular focus on industrial automation and robotic systems. His key research areas include failure rate analysis, life data modeling, and the application of non-extensive statistical mechanics to engineering problems. His most cited work, "Modeling failure rate of a robotic welding station using generalized q-distributions" (2015, 12 citations), makes a significant contribution by comparing traditional exponential and Weibull models with their generalized q-exponential and q-Weibull counterparts. This study demonstrates how q-distributions, rooted in Tsallis statistics, can provide more accurate failure rate predictions for complex industrial equipment, offering engineers a robust tool for predictive maintenance and system reliability assessment. Machado de Assis’s work is notable for introducing concepts from statistical physics into practical reliability engineering, helping to improve the safety and efficiency of automated manufacturing processes. His research has been cited in studies on industrial robotics, maintenance optimization, and advanced statistical modeling, reflecting its growing influence in the field.
Research Focus
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Top Papers
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