What question did this study set out to answer?

To evaluate the correlation and redundancy among time-domain statistical moments and spectral metrics to optimize feature selection for permanent magnet synchronous motor fault diagnostics.

August 16, 2026MEJ Mansoura Engineering JournalOpen Access

Correlation and Redundancy Analysis of Statistical Features for Permanent Magnet Synchronous Motor Fault Detection

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To evaluate the correlation and redundancy among time-domain statistical moments and spectral metrics to optimize feature selection for permanent magnet synchronous motor fault diagnostics.
Analyzed 14,400 shipboard current signal windows from five Nigerian Navy vessels and 12,000 simulated high-resolution windows across six fault classes (2 kHz sampling rate, 60-minute windows with 30-minute overlap).
Calculated time-domain statistical moments (mean, variance, standard deviation, skewness, kurtosis), Fault Severity Index (FSI), and Total Harmonic Distortion (THD).
Quantified feature relationships and diagnostic separability using Pearson correlation coefficients and scatter-plot clustering.
Variance, standard deviation, and FSI showed strong redundancy with correlation coefficients ranging from r = 0.80 to 0.99 (p < 0.001).
Kurtosis and skewness exhibited moderate inter-correlation (r = 0.88, p < 0.001) but remained weakly correlated with lower-order metrics (r < 0.60, p < 0.001).
THD showed weak correlations across all time-domain statistical moments (r < 0.65, p < 0.001), confirming its value as an independent diagnostic indicator.

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Implication

Correlation analysis demonstrates feature redundancy and validates independent spectral indicators in naval motor drives, suggesting pathways for streamlined real-time fault detection frameworks.

Cite This Study

Muhammad et al. (2026) studied this question.

synapsesocial.com/papers/6a817a91f2fb91fc834ae8c1 https://doi.org/10.58491/2735-4202.3433

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Implication

Correlation analysis demonstrates feature redundancy and validates independent spectral indicators in naval motor drives, suggesting pathways for streamlined real-time fault detection frameworks.

Correlation and Redundancy Analysis of Statistical Features for Permanent Magnet Synchronous Motor Fault Detection

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Discussion

Implication

Cite This Study

Correlation and Redundancy Analysis of Statistical Features for Permanent Magnet Synchronous Motor Fault Detection

Key Points

Discussion

Implication

Cite This Study

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