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Gravity-Calibrated Accelerometer Sensing for Drilling Equipment Health Monitoring
ID：62 View Protection：ATTENDEE Updated Time：2026-09-21 22:53:27 Hits：9 Oral Presentation

Start Time：Pending（Asia/Shanghai）

Duration：Pending

Session：No Session »

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Abstract
Reliable vibration measurement requires the sensor output to be separated from bias, scale-factor, cross-axis, and temperature effects. This paper presents a gravity-referenced calibration method for three orthogonally oriented accelerometers in a measurement-while-drilling tool and extends the calibrated sensing layer toward intelligent equipment-health monitoring. The original method samples the three sensor voltages at 24 combinations of upward/downward orientation and 90° rotation, averages repeated measurements, identifies temperature, bias, sensitivity, and non-orthogonality coefficients, and executes the correction in an embedded micro-control unit. The reported total-gravity comparison shows a substantially narrower residual after correction than for the raw measurement. On this validated calibration basis, a monitoring framework is proposed that combines gravity-norm residual, coefficient drift, cross-axis consistency, vibration statistics, spectral features, operating condition, and temperature. Condition-aware normalization and a multi-task model produce a measurement-quality state, equipment-health state, and confidence, while physics-based residuals retain interpretability. The original experiments validate the sensing calibration only; the intelligent-diagnosis layer is therefore stated as a testable extension requiring synchronized vibration and maintenance labels. The resulting architecture connects multi-axis sensing, signal analytics, and robust diagnosis under variable working conditions.
 
Keywords
Accelerometer calibration,vibration sensing,intelligent diagnosis,equipment health monitoring,multi-sensor fusion,measurement while drilling
Speaker
ETHAN ZHAN
VP SINOPEC GROUP

Submission Author
ETHAN ZHAN SINOPEC GROUP
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Important Date

  • Conference Date

    Nov 06

    2026

    to

    Nov 08

    2026

  • Oct 15 2026

    Draft paper submission deadline

Sponsored By
IEEE Instrumentation and Measurement Society
Organized By
Sichuan University
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