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Rotating Equipment Causality Analysis

Author: Umeet Bhachu, P.Eng, PMP, CMRP
Role: Professional Engineer – Rotating Equipment

This repository hosts technical articles on nonlinear causality, transfer entropy, and industrial time-series analysis applied to rotating equipment and turbomachinery. It combines practical condition monitoring applications for plant asset reliability with modern machine learning and artificial intelligence techniques to improve system-level understanding and decision-making.


πŸ“„ Papers

  • Performance Monitoring of Compressors
    Practical approaches to compressor performance tracking, degradation detection, and reliability insights using operational data.
    πŸ‘‰ Open PDF

  • Pump Life-Cycle Cost and Performance
    Analysis of pump total life-cycle cost drivers, efficiency considerations, and performance optimization strategies in industrial applications.
    πŸ‘‰ Open PDF

  • Reliability-Centered Maintenance (RCM)
    Application of reliability-centered maintenance principles for rotating equipment, focusing on failure modes, maintenance strategies, and asset risk management.
    πŸ‘‰ Open PDF

  • Weibull Analysis for Mechanical Seal Reliability
    Statistical reliability modeling of mechanical seal failures using Weibull distributions to support maintenance and design decisions.
    πŸ‘‰ Open PDF

About

Practical calculations & case studies on plant rotating equipment and turbomachinery. Performance evaluation of compressors, pumps, turbines and modelling of various rotating equipment. Papers on utilizing artificial intelligence and machine learning on plant data to diagnose issues and complex problem

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