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2023HUMS 数据挑战赛成果： MWAU团队

ID：72804

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大小：0.50 MB

页数：6页

时间：2025-01-03

金币：10

上传者：神经蛙1号
HUMS2023 Data Challenge Result Submission
Team Name: MWAU
Team Members: Peter Brady, Emmanuel Blanchard
Institutions: MathWorks Australia
Publishable: Yes
1. Summary of Findings
Table 1 Summary of Analysis Results
#
Detection & Trending
Data file
name/number
Comments
1
Consistent detection on at least one signal channel; i.e. the fault
indicators remain consistently above the threshold.
194
2
Confirmed detection on at least two signal channels; i.e. the fault
indicators remain consistently above the threshold.
194
3
Clear multi-channel indication of the characteristic fault features;
i.e. faulty planet gear meshing with both the ring and sun gears.
194
4
Confirmed trend of fault progression; i.e. a consistent increasing
trend started from which file number/name.
Not Attempted
5
Confirmed trend of accelerated fault progression; i.e. a consistent
exponential increasing trend started from which file
number/name
521
2. Analysis Methods
As this is an unlabelled data challenge we focused on the following specific points:
1. Detection of crack initiation
2. Detection of crack completion
We followed an unsupervised data driven approach, specifically:
1. The hunting tooth average data was transformed to extract the SSA Carrier and Planet signals so
that all three could be analysed
2. All three signals were windowed with no overlap so that we could better discriminate phase angle
effects
3. Regular statistical properties, such as mean, max, and spectral kurtosis estimates were computed
for each window, resulting in over 900 individual channels
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