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Building a reproducible fault dataset for DC drives
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Building a reproducible fault dataset for DC drives

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nvasquezc/README.md

Néstor O. Vásquez C.

Electronic engineer · MSc candidate in Data Analytics
Embedded estimation, health-aware control, and applied machine learning.
Bogotá, Colombia · Jitter Ingeniería SAS

ORCID · LinkedIn · nvasquezc@ucentral.edu.co


Research focus

I work on estimating slowly-varying physical parameters from observer residuals in resource-constrained embedded systems. Two application threads share this mathematical structure:

Embedded metrology without traceability infrastructure. Recovering measurement confidence in instruments that cannot be routinely calibrated against a reference standard.

Health-aware control in low-cost power electronics. Detecting and compensating degradation — winding resistance, back-EMF constant, brush voltage drop — online, inside the control loop, on commodity hardware.

Motivating context: environmental monitoring and off-grid energy access, where the instruments that most need calibration are the least likely to receive it.


Work

dc-motor-fault-detection · in progress

Closed-loop testbed on STM32F407VG producing a reproducible fault dataset with physically quantified severity, plus comparative classifier evaluation. The contribution is the system and its instrumentation: fault injection is parameterized in physical units, not categorical labels.

STM32 HAL · Kalman filter · PI control · DMA telemetry · PyQt6 · scikit-learn · Deep Learning

firewatch-colombia

Satellite wildfire monitoring pipeline: NASA FIRMS and GOES-19 ingestion, DBSCAN clustering of active fire detections, LLM-generated situation bulletins, served through a Dash dashboard.

Python · Dash · scikit-learn

carcino-qsar · private, research group

Carcinogenicity prediction under a medallion data architecture, with scaffold splits, class-imbalance handling, SHAP attribution, and OECD validation principles.

RDKit · scikit-learn · Plotly · uv


Stack

Domain Tools
Embedded STM32CubeIDE, HAL, C, DMA
Estimation & control Kalman filtering, PI/PID, system identification
ML / Data Python, scikit-learn, PyTorch, pandas, PyQt6, Plotly
MLOps MLflow, Delta Lake, Databricks, GitHub Actions
Instrumentation Oscilloscope, logic analyzer, serial telemetry

Background

MSc Data Analytics, Universidad Central de Colombia (in progress) · BSc Electronic Engineering · 6 years in IP/MPLS network engineering for telecom operators · Engineering practice at Jitter Ingeniería SAS.

Pinned Loading

  1. dc-motor-fault-detection dc-motor-fault-detection Public

    Closed-loop DC motor fault dataset with physically quantified severity, and comparative detection methods

    C 1