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IoTSignal ProcessingExperimentscompleted
Industrial Sensor Fault Detection
Anomaly detection system for industrial sensor telemetries.
01 · The Problem & Hypothesis
Why this needed to be built
Industrial machinery sensor drifts and electrical spikes often go undetected until catastrophic mechanical failure occurs.
The Core Idea
Apply time-series statistical anomaly detection and threshold heuristics to continuous sensor telemetry streams.
02 · Technical Implementation
How the system was architected
Grounded in electrical engineering signal processing principles. Explored anomaly classification on noisy voltage, vibration, and thermal time-series streams.
Python
NumPy
Time-Series Signal Analysis
IoT Protocols
03 · Key Takeaways Earned
Takeaway 01
“Domain knowledge of electrical signals is critical for designing effective anomaly filter thresholds.”