Part 2 of an article on Wave Data Feature Engineering focuses on spectral features. Techniques like FFT help convert time-domain signals into frequency-domain, providing insights on dominant frequencies and power distribution through features such as spectral entropy, kurtosis, PSD, and Harmonic Ratios. The next part will discuss Wavelet Transform, Demodulation, RQA, and signal generation for experiments. The series aims to understand predictive maintenance and may lead to a book based on user feedback.
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Practical AI Solutions for Predictive Maintenance
Key Takeaways:
- Feature Engineering: Focus on spectral features to analyze wave data.
- FFT: Use Fast Fourier Transform to reveal frequency components of signals.
- PSD: Power Spectral Density uncovers how signal power is distributed across frequencies.
- STFT: Short-Time Fourier Transform combines windowing and FFT for detailed analysis.
Understanding Spectral Data
By employing techniques like FFT, we can extract valuable features such as dominant frequency and spectral entropy. This helps us understand the health of machinery and predict maintenance needs.
FFT and STFT in Predictive Maintenance
FFT analysis is crucial for early detection of machine faults, allowing for timely maintenance and reduced downtime. STFT further enhances this by providing a time-sensitive frequency analysis.
AI-Driven Insights
AI can analyze spectral patterns to predict machine failures. Implementing AI solutions like an AI Sales Bot can automate customer engagement and improve business outcomes.
Next Steps in Feature Engineering
Stay tuned for upcoming articles on Wavelet Transform, Demodulation, and Recurrence Quantification Analysis (RQA).
AI Implementation Strategy
Identify automation opportunities, define KPIs, select the right AI solution, and implement gradually for best results.
Connect with Us
For AI KPI management advice, email us at hello@itinai.com. Follow our insights on Telegram or Twitter.
Spotlight on AI Sales Bot
Discover the AI Sales Bot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
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