Turbomechanica
Prescriptive analytics for maximizing industrial equipment life and uptime
Page last modified
June 17 2025
Turbomechanica® is Mechademy's cloud-based platform designed specifically for industrial machines and processes, particularly rotating equipment like compressors, turbines, and pumps. It integrates proprietary physics-based performance models with state-of-the-art machine learning and deep learning algorithms. The physics models compare actual equipment performance against expected baselines, enabling early detection of impending faults. Simultaneously, the AI/ML models analyze vast historical and real-time data to identify patterns, correlations, and potential failure modes.
Turbomechanica's unique orchestration strategy allows seamless data flow between physics and machine learning models, enabling hybrid physics+ML digital twins. This integration expands the scope of early fault detection, provides richer insights into fault causality, and allows the use of physics-generated synthetic sensors within ML models. The platform generates prescriptive alerts, actionable insights, and automatically visualizes diagnostic data.
Overall, Turbomechanica empowers plant personnel with domain-rich predictive and prescriptive analytics to maximize equipment life and uptime. It promises 2-10% increased uptime, over 15x return on investment, and 10-20% higher efficiency across industries like LNG, refining, upstream, midstream, offshore, petrochemicals, and power generation.
Pros & Limitations
1
Identifies potential issues months in advance, reducing downtime, maintenance, and operational costs
1
Increases equipment uptime, energy efficiency, and asset lifetime by 10-20%
1
Provides prescriptive alerts to predict machine failure and offer actionable insights to minimize downtime
1
Integrates physics-based performance models with machine learning algorithms for early fault detection
1
Delivers rich insights into fault causality using hybrid physics + ML digital twins
Specification
| Title | Description |
|---|---|
| Core Tech | AI & Advanced Analytics |
|
Physics models
|
Proprietary physics-based performance models that compare actual equipment performance to baseline performance for early fault detection
|
|
Machine learning
|
Uses deep learning and machine learning models trained on historical plant data or simulated data to identify patterns, correlations, and potential failure modes
|
|
Diagnostics
|
Sophisticated orchestration that integrates physics and machine learning models, enabling expanded fault detection scope, richer causal insights, hybrid digital twins, and prescriptive alerts
|
|
Features
|
Extensive asset library, OEM-agnostic performance models, drag-and-drop setup, real gas equations, domain-informed feature engineering, model building at scale, model drift detection, integrations with popular ML/DL frameworks, and end-to-end model lifecycle management
|
Mechademy is a company that has developed Turbomechanica®, a cutting-edge big data platform specifically designed for industrial machines and processes. This platform integrates state-of-the-art deep learning, machine learning algorithms, and proprietary physics-based performance models. It empowers plant personnel with domain-rich predictive and prescriptive alerts, enabling them to maximize equipment life and uptime. Turbomechanica® leverages data from multiple sources to identify anomalies, flag sub-optimal operations, and provide actionable insights to minimize downtime, increase energy efficiency, and extend asset lifetime, ultimately delivering up to 15 times return on investment for its clients.
Country of Headquarters
United States
Relative Business Impact
Solution Deployed By
Company Name
Total Deployments
Comment
Sign up or log in to your Explorer Plus or higher plan to get access to all the 0 deployment references.
Last Deployment Year
Total Deployments
Comment