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

The constant-pressure variable-displacement piston pumps on aircraft are typically driven by the engine, providing energy and power for the aircraft's hydraulic systems and fuel servo systems. Due to the varying engine speeds and fluctuating loads in the hydraulic and fuel systems, aviation piston pumps must also operate across a wide range of rotational speeds and load flow rate conditions. The pressure, flow rate, temperature, and vibration signals at different ports of a piston pump are critical indicators reflecting its operational health. Utilizing these limited metrics for fault diagnosis of piston pumps under multiple working conditions is a research field of significant importance and considerable challenge. Based on the operational characteristics of aviation piston pumps, this paper designs a feasible standardized test procedure and introduces a dataset comprising four types of signals-pressure, flow rate, temperature, and vibration-collected during the standardized tests. The dataset includes test data from the standard pump under normal conditions, as well as data collected under three typical fault conditions: wear of the servo piston, wear of the regulation valve, and wear of the swashplate bearing bush. Based on this dataset, researchers can validate the effectiveness of proposed fault diagnosis and health evaluation methods.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2025-12-03
DOI
https://doi.org/10.1016/j.dib.2025.112336
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yongling Fu, Jiming Ma, Tong Wang
Data in Brief
Hydraulic and Pneumatic Systems
article

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

Yongling Fu, Jiming Ma, Tong Wang
article en

Abstract

The constant-pressure variable-displacement piston pumps on aircraft are typically driven by the engine, providing energy and power for the aircraft's hydraulic systems and fuel servo systems. Due to the varying engine speeds and fluctuating loads in the hydraulic and fuel systems, aviation piston pumps must also operate across a wide range of rotational speeds and load flow rate conditions. The pressure, flow rate, temperature, and vibration signals at different ports of a piston pump are critical indicators reflecting its operational health. Utilizing these limited metrics for fault diagnosis of piston pumps under multiple working conditions is a research field of significant importance and considerable challenge. Based on the operational characteristics of aviation piston pumps, this paper designs a feasible standardized test procedure and introduces a dataset comprising four types of signals-pressure, flow rate, temperature, and vibration-collected during the standardized tests. The dataset includes test data from the standard pump under normal conditions, as well as data collected under three typical fault conditions: wear of the servo piston, wear of the regulation valve, and wear of the swashplate bearing bush. Based on this dataset, researchers can validate the effectiveness of proposed fault diagnosis and health evaluation methods.

Data in BriefVol. 64
Beihang University (CN)
Openalex Percentile: Top 61%
Hydraulic and Pneumatic Systems
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.

Multi-mode fault dataset for aviation piston pump based on standard test procedure — Yongling Fu, Jiming Ma, et al. · Data in Brief (2025) | TGRS Research Map | TGRS