A systematic evaluation of helicopter cabin noise: Case study of Robinson R44 RAVEN II

This paper presents a comprehensive test and systematic evaluation analysis of cabin noise in the Robinson R44 RAVEN II helicopter. Initially, microphones were placed within the cabin to conduct systematic assessments of noise levels under various flight conditions, including takeoff, climbing, level flight, landing, hovering, etc. Subsequently, time–frequency analysis was conducted on the test data utilizing traditional A-weighted sound pressure levels, which was followed by quantitative comparisons across different flight conditions. Then, detailed evaluation and discussion were conducted, taking into account the subjective perceptions and communication challenges of cabin crew members. This assessment incorporated the use of aviation noise indicators, speech interference levels, and metrics related to sound quality. Finally, potential noise reduction measures and their effects were preliminarily discussed. The results indicate that helicopter cabin noise exhibited variations across different flight states or positions within the same state, ranging from 87.6 dB(A) to 92.6 dB(A). Discrepancies between A-weighted sound pressure level and psychoacoustic parameters were observed, particularly during hovering states, which indicate that there is a necessity for the combination of multiple evaluation indicators. Notably, damping measure can serve as a pivotal factor in mitigating cabin noise.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Aeronautics
Published
2024-11-23
DOI
https://doi.org/10.1016/j.cja.2024.11.024
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A systematic evaluation of helicopter cabin noise: Case study of Robinson R44 RAVEN II

Jie Pang, Ruotong Wang, Chang Chen, Dan Yao et al.
Chinese Journal of Aeronautics
Noise Effects and Management
article

A systematic evaluation of helicopter cabin noise: Case study of Robinson R44 RAVEN II

Jie Pang, Ruotong Wang, Chang Chen, Dan Yao, Jie Zhang, Yue Zhao, Yumei Zhang
article en

Abstract

This paper presents a comprehensive test and systematic evaluation analysis of cabin noise in the Robinson R44 RAVEN II helicopter. Initially, microphones were placed within the cabin to conduct systematic assessments of noise levels under various flight conditions, including takeoff, climbing, level flight, landing, hovering, etc. Subsequently, time–frequency analysis was conducted on the test data utilizing traditional A-weighted sound pressure levels, which was followed by quantitative comparisons across different flight conditions. Then, detailed evaluation and discussion were conducted, taking into account the subjective perceptions and communication challenges of cabin crew members. This assessment incorporated the use of aviation noise indicators, speech interference levels, and metrics related to sound quality. Finally, potential noise reduction measures and their effects were preliminarily discussed. The results indicate that helicopter cabin noise exhibited variations across different flight states or positions within the same state, ranging from 87.6 dB(A) to 92.6 dB(A). Discrepancies between A-weighted sound pressure level and psychoacoustic parameters were observed, particularly during hovering states, which indicate that there is a necessity for the combination of multiple evaluation indicators. Notably, damping measure can serve as a pivotal factor in mitigating cabin noise.

Chinese Journal of AeronauticsVol. 38(5)
Sichuan University (CN), China Aerodynamics Research and Development Center (CN), Changzhou University (CN), Civil Aviation Flight University of China (CN)
Openalex Percentile: Top 66%
Noise Effects and Management
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.

A systematic evaluation of helicopter cabin noise: Case study of Robinson R44 RAVEN II — Jie Pang, Ruotong Wang, et al. · Chinese Journal of Aeronautics (2024) | TGRS Research Map | TGRS