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Ningbo Cai

3 papers hereh-index 467 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.SY1

identity via Semantic Scholar / OpenAlex

most citedRemaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

6 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023★ 1 cited

A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles

Xin Chen, Yuwen Qin, Weidong Zhao +3

Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications. Most SOH estimation methods focus on the…

eess.SY2022★ 2 cited

DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries

Ningbo Cai, Yuwen Qin, Xin Chen +1

Accurate co-estimations of battery states, such as state-of-charge (SOC), state-of-health (SOH,) and remaining useful life (RUL), are crucial to the battery management systems to a…

cs.LG2022★ 6 cited

Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

Yuwen Qin, Ningbo Cai, Chen Gao +3

The precise estimate of remaining useful life (RUL) is vital for the prognostic analysis and predictive maintenance that can significantly reduce failure rate and maintenance costs…

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