Deep-learning-in-PHM and Journals-of-Prognostics-and-Health-Management

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About Deep-learning-in-PHM

hustcxl/Deep-learning-in-PHM

Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction

This is a curated collection of resources for engineers and researchers focused on Prognostics and Health Management (PHM). It provides a structured overview of academic papers and open-source projects that leverage deep learning to predict equipment failures and estimate remaining useful life. You can explore relevant research and code to improve your predictive maintenance strategies.

Predictive Maintenance Fault Diagnosis Asset Health Management Reliability Engineering Industrial IoT

About Journals-of-Prognostics-and-Health-Management

liguge/Journals-of-Prognostics-and-Health-Management

智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)

This resource provides a curated list of high-quality English-language journals focusing on intelligent fault diagnosis and remaining useful life prediction. It helps researchers, PhD students, and academics quickly identify relevant, impactful papers in their field and determine suitable journals for submitting their own research. The input is a research area (e.g., fault diagnosis, prognostics), and the output is a categorized list of academic journals with metrics like impact factor and academic rankings.

academic-publishing fault-diagnosis prognostics reliability-engineering research-evaluation

Scores updated daily from GitHub, PyPI, and npm data. How scores work