T.L. Johnson

General Electric (United States)

Papers

3

Total Citations

88

H-Index

2

About

T.L. Johnson is a pioneering researcher in the fields of automated manufacturing systems, fault detection and diagnosis, and robotics. His most influential work, "Fault detection and diagnosis of automated manufacturing systems" (2003), with 74 citations, introduces a groundbreaking controller methodology that integrates Petri nets and fault trees to enable real-time fault detection and diagnosis. This two-level architecture—featuring dedicated diagnostic systems for subsystems like machine centers and robots—has become a foundational framework for enhancing reliability and safety in complex manufacturing environments. Johnson’s earlier contributions, including "Fault Detection and Diagnosis of Automated Manufacturing Systems" (1988, 12 citations) and "On Feedback Laws for Robotic Systems" (1981, 2 citations), reflect his sustained focus on control theory and system resilience. While his citation counts may appear modest, his work is notable for its practical impact on industrial automation, offering scalable solutions for fault management that have influenced subsequent research in smart manufacturing and cyber-physical systems. Johnson’s legacy lies in bridging theoretical control methods with real-world applications, making him a key figure in the evolution of automated system diagnostics.

Research Focus

Key Achievements

2
H-Index
3
Papers
88
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Fault detection and diagnosis of automated manufacturing systems
74 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: General Electric (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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