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Condition Assessment Approach of Hydraulic Brake for Large Crane Based on State Estimation Algorithm

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Abstract

Hydraulic brake was widely used for mechanical brake of port crane. The run-state of the brake affects the safety of the crane because of the sudden accident. Because of the complex structure and unsuited to use in real time of traditional assessment model, the condition assessment approach of hydraulic brake was constructed based on state estimation algorithm in this paper. The oil temperature, dynamic friction coefficient, spring stiffness coefficient, brake shoe clearance and contact area were chosen as the state components of the memory matrix based on the analysis of the structure and failure reasons of the brake. Considering the correlation between the state components, the Mahalanobis distance was chosen as the nonlinear operator of algorithm, and the uncertainty factors and random disturbances in state assessment were eliminated by the sliding window residual statistics method. The dynamics simulation of hydraulic brake was constructed for confirming the validity of the approach in this paper. The result shows that it can be accurately judged by the method if the brake is in abnormal state.

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Acknowledgements

Projects funded by the Graduate Innovation Fund of Shanghai Maritime University (YXR2017058).

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Authors and Affiliations

  1. Container Supply Chain Technology RC of MOE Engineering, Shanghai Maritime University, Shanghai, China

    Houjun Lu & Qiang Zhou

  2. Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China

    Daofang Chang

Authors
  1. Houjun Lu
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  2. Qiang Zhou
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  3. Daofang Chang
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Correspondence to Qiang Zhou.

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Lu, H., Zhou, Q. & Chang, D. Condition Assessment Approach of Hydraulic Brake for Large Crane Based on State Estimation Algorithm. Wireless Pers Commun 103, 195–207 (2018). https://doi.org/10.1007/s11277-018-5435-9

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  • DOI: https://doi.org/10.1007/s11277-018-5435-9

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