Riyadh Nazar Ali Algburi
Southwest Jiaotong University, Ministry of Education, Alsalam University College, Al-Farahidi University
Papers
9
Total Citations
168
H-Index
6
About
Riyadh Nazar Ali Algburi is a researcher specializing in industrial robotics, fault detection, and signal processing, with a particular focus on health monitoring systems for robotic machinery. His work has made significant contributions to the field of condition monitoring by demonstrating that rotary encoder signals — traditionally used for positioning and dynamic control — can be repurposed as powerful diagnostic tools for assessing the health and energy performance of industrial robots. Central to much of his research is the application of Singular Spectrum Analysis (SSA), a technique he has refined and extended across numerous studies to detect subtle mechanical faults and weak position oscillations that conventional methods often miss. His most cited work, "Health Assessment and Fault Detection System for an Industrial Robot Using the Rotary Encoder Signal" (2019, 50 citations), laid the groundwork for this encoder-based diagnostic paradigm. Algburi has continued advancing the field by integrating novel algorithms, including hierarchical hyper-Laplacian priors and sparse maximum harmonics deconvolution, into increasingly sophisticated fault diagnosis frameworks. With a growing body of work accumulating over 160 citations, his research offers practical, non-invasive alternatives to vibration-based monitoring systems, making industrial robotic operations safer and more reliable.
Research Focus
Key Achievements
Top Papers
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- 2Improvement of an Industrial Robotic Flaw Detection System33 citations · 2022
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