Contact force identification in pantograph–catenary system via elastic support beam theory and enhanced l1 sparse regularization scheme

Accurate identification of pantograph–catenary contact force remains a challenging inverse problem, particularly under high-speed operating conditions where high-frequency dynamics play a critical role. Most existing contact force identification methods are primarily limited to low-frequency ranges (typically below 20 Hz), which restricts their applicability in analyzing high-frequency phenomena such as contact strip abnormal wear and fatigue crack initiation in pantograph structures. To overcome these limitations, this study proposes a contact force identification framework with extended frequency capability for pantograph–catenary systems. Based on an elastically supported beam representation of the pantograph head with moving supports, this study establishes consistent forward and inverse dynamic models within a modal superposition framework, enabling an improved description of structural flexibility and high-frequency dynamic characteristics. Furthermore, an enhanced sparse inversion scheme is developed by incorporating a redundant cascaded dictionary with moving-average L1 regularization, which effectively improves robustness against noise and enhances the extraction of transient and high-frequency force components. Numerical simulations under various operating conditions demonstrate that the proposed method achieves accurate and stable reconstruction of contact forces over a significantly extended frequency range, outperforming conventional inversion approaches. The proposed framework provides a reliable and high-resolution tool for dynamic analysis of pantograph–catenary interactions and offers promising potential for future real-time monitoring applications.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-15
DOI
https://doi.org/10.1038/s41598-026-46728-y
Primary Topic
Electrical Contact Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contact force identification in pantograph–catenary system via elastic support beam theory and enhanced l1 sparse regularization scheme

Haifei Wei, Hongming Chen, Xingshuai Zhi, Ning Zhou et al.
Scientific Reports
Electrical Contact Performance and Analysis
article

Contact force identification in pantograph–catenary system via elastic support beam theory and enhanced l1 sparse regularization scheme

Haifei Wei, Hongming Chen, Xingshuai Zhi, Ning Zhou, Yao Cheng, Weihua Zhang, Mudi Li
article en

Abstract

Accurate identification of pantograph–catenary contact force remains a challenging inverse problem, particularly under high-speed operating conditions where high-frequency dynamics play a critical role. Most existing contact force identification methods are primarily limited to low-frequency ranges (typically below 20 Hz), which restricts their applicability in analyzing high-frequency phenomena such as contact strip abnormal wear and fatigue crack initiation in pantograph structures. To overcome these limitations, this study proposes a contact force identification framework with extended frequency capability for pantograph–catenary systems. Based on an elastically supported beam representation of the pantograph head with moving supports, this study establishes consistent forward and inverse dynamic models within a modal superposition framework, enabling an improved description of structural flexibility and high-frequency dynamic characteristics. Furthermore, an enhanced sparse inversion scheme is developed by incorporating a redundant cascaded dictionary with moving-average L1 regularization, which effectively improves robustness against noise and enhances the extraction of transient and high-frequency force components. Numerical simulations under various operating conditions demonstrate that the proposed method achieves accurate and stable reconstruction of contact forces over a significantly extended frequency range, outperforming conventional inversion approaches. The proposed framework provides a reliable and high-resolution tool for dynamic analysis of pantograph–catenary interactions and offers promising potential for future real-time monitoring applications.

Scientific Reports
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Electrical Contact Performance and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.