Research on Prognostics and Health Management System for Self-Propelled Gun

Xin Jie Shao; Li Jun Cao; Jin Hua Liu; Qiao Ma; Guang Tian; Hui Bin Hu

doi:10.4028/www.scientific.net/AMR.591-593.1938

Paper Titles

The Relationship between Contact Angle Difference and Equivalent Conicity of High-Speed EMU
p.1920

The Noise Test System and Solution Measures of Vibration Test
p.1925

Vibration Analysis of a Shell Structure by Finite Element Method
p.1929

Dynamic Responses of Supercavitating Vehicles under Non-Stationary Random Excitation
p.1934

Research on Prognostics and Health Management System for Self-Propelled Gun
p.1938

Numerical Computation of Acoustic Field Using Boundary Mesh Less Method
p.1942

Numerical Calculation of Hydrodynamic Interference Coefficients between Hull, Rudder and Propeller
p.1949

Dynamic Parameters Estimation Based on Set Inversion and Interval Analysis Algorithm
p.1954

Fault Detection of Electric Motors Application Using ML Estimation Method
p.1958

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Research on Prognostics and Health Management...

Research on Prognostics and Health Management System for Self-Propelled Gun

Abstract:

Considering the encapsulation, tremendous working stress, complicated fault mechanism and process, an object-oriented architecture Prognostics and Health Management (PHM) system of Self-Propelled Gun is put forward to solve the difficulties in modern equipments’ maintenance decision and safeguard. The relative key techniques, such as fault characteristics extraction, system identification, data fusion among sensors, adaptive fault thresholds setting, intelligent fault inference mechanism and fault prediction mechanism are discussed in detail. Above functional modules compose the PHM system. Their mutual relationships and data flow are shown as architecture graph, which is the basis of PHM system establishment. Simulation verification experiments indicate that the proposed architecture can satisfy the requirements of standardization, hierarchy and evolvement, as well as reducing the maintenance cost and difficulties.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1938-1941

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1938

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Online since:

November 2012

Authors:

Xin Jie Shao, Li Jun Cao, Jin Hua Liu, Qiao Ma, Guang Tian, Hui Bin Hu

Keywords:

Architecture, Condition-Based Maintenance, Object-Oriented (OO), Prediction Health Management (PHM), Prediction Prognostics

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References

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