Synapse
⌘+K
Synapse
PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
June 20, 2026Journal of Infrastructure Systems

Deep Learning for Operation and Maintenance of Urban Lifeline Systems: A Comprehensive Review

View Full Paper
Ask AI
Bookmark
Share

Authors

XYXianfei YinJZJunxiang ZhaoRZRuiyan Zheng

Discussion

Loading...

Member takes

Overview

Comprehensive review identifies key applications of deep learning in urban lifeline systems, highlighting future research directions.

Key Points

  • This review aims to explore the applications of deep learning in the operation and maintenance of urban lifeline systems.
  • Conducted bibliometric and systematic analysis of 366 peer-reviewed articles
  • Identified five key operation and maintenance application scenarios
  • Proposed a structured status matrix mapping deep learning architectures to application scenarios.
  • Highlighted five key O&M application scenarios: condition monitoring, load forecasting, intelligent scheduling, risk assessment, and emergency response.
  • Found sectoral imbalances and underexplored opportunities in the application of deep learning.
  • Discussed prevailing challenges and outlined future research directions for urban lifeline systems' O&M.

Cite This Study

Yin et al. (2026) studied this question.

synapsesocial.com/papers/6a362f92db0793dc1a53702fhttps://doi.org/10.1061/jitse4.iseng-2916
View Full Paper
Ask AI
Bookmark
Share