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Multi-mode fault dataset for aviation piston pump based on standard test procedure.

Tong Wang¹, Jiming Ma¹, Yongling Fu¹

¹Beihang University, China.

|January 8, 2026

Summary

This study introduces a standardized test procedure and a new dataset for aviation piston pumps. The data aids in developing fault diagnosis methods for critical aircraft hydraulic and fuel systems.

Keywords:

Aviation piston pumps Fault diagnosis Fault injection tests Health evaluation Multi-mode faults Multi-source information;ASynchronous information

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Area of Science:

Aerospace Engineering
Mechanical Engineering
Condition Monitoring

Background:

Aviation piston pumps are critical for hydraulic and fuel systems, operating under variable speeds and loads.
Accurate fault diagnosis is essential for ensuring aircraft safety and operational reliability.
Existing diagnostic methods face challenges under diverse working conditions.

Purpose of the Study:

To design a standardized test procedure for aviation piston pumps.
To create a comprehensive dataset for fault diagnosis research.
To facilitate the development of advanced health evaluation methods.

Main Methods:

Development of a standardized testing protocol for piston pumps.
Collection of multi-signal data (pressure, flow rate, temperature, vibration).
Inclusion of data under normal and three specific fault conditions (servo piston wear, regulation valve wear, swashplate bearing bush wear).

Main Results:

A feasible standardized test procedure was successfully designed.
A novel dataset containing critical operational signals was established.
The dataset covers normal and common fault scenarios for validation.

Conclusions:

The developed dataset and test procedure are valuable resources for the research community.
This work supports the advancement of fault diagnosis and health monitoring for aviation piston pumps.
Enables validation of new diagnostic algorithms under realistic operating conditions.