Our Offerings
Our technology combines advanced signal-based diagnostics with data-calibrated, physics-based models using Degradation Entropy Generation, Shannon Information Theory, nonlinear robust observers, and confidence a posteriori estimates.
We provide closed-loop system monitoring (and control-aide) and diagnostics of the operational health and integrity of oil & gas, chemical, and power-generation operations. Our solution increases energy availability and reduces operation & maintenance costs by improving rotating equipment reliability and enabling predictive maintenance.
​
This allows Just-In-Time maintenance, reduced inventory, more accurate lead times, and risk analysis with higher confidence metrics.
Consulting
Rotating equipment & reliability consulting powered by data-calibrated, physics-based models
-
Dry gas seal and critical failure investigations
-
Motor-pump and rotating equipment troubleshooting
-
RCM studies and maintenance strategy optimization
-
System modeling, digital twins, and reliability assessments
SAHAS
System Asset Health Assurance Service
-
​Programmatically diagnose rotating equipment health and predict degradation
-
Degradation Entropy Analysis
-
Shannon Entropy Generation
-
Automatic reports
-
Connect to your existing PI System and SmartConnect
Why are we here
Need from the Industry
There are clear limitations in traditional signal-based diagnostics, especially for detecting early degradation and remaining capacity. Our technology addresses these gaps by combining advanced signal analysis with data-calibrated, physics-based models, delivering earlier and more confident predictions that improve safety, production, and environmental performance.
90+ years Experience in Diagnostics of Industrial Equipment
Our team has 90 years of accumulated experience in the Energy Industry. Machine Essence’s experience is a concentration of subject matter experts with real-life experience both on and out of the field with the tools to resolve some of the most challenging aspects in diagnostics.
Business Opportunity
The industry has been filled with diagnostic solutions that often fail to meet expectations. We focus on physics-based models calibrated with real operating data and on the concept of observability—how a particular fault becomes visible in the available signals. By combining this with advanced signal-based diagnostics, we deliver results that are firmly grounded in real-world behavior and provide the accuracy and confidence that reliability teams require.
Commercializing Our Technology
This technology was developed out of careful research and development at The University of Texas at Austin. It has gone through various vetting processes. The theorems applied have been recognized in the most esteemed scientific journals. Our technology has already been deployed in the industry with successful results proven by our models.
System Asset Health Assessment Service
SAHAS Level 1 (S1):
Early warning and quantitative machine functional health assessment is provided by noise generation analysis from equipment current and baseline data – Technology based in Communication Engineering Fundamentals.​
SAHAS Level 2 (S2):
Estimation of different degradation trends by deployment of Physics-based, simplified models using input/outputs of actual operating conditions – Enhanced S1+ Degradation Entropy Generation (DEG)-based technology.
SAHAS Level 3 (S3):
Determination of different degradation modes utilizing Physics-based, detailed models (digital twins) using inputs/outputs of actual operating conditions and dynamic parameter tuning – S1 & S2-enhanced + Physics-based Digital Twins Dynamic Parameter Tuning-developed technology.
The Industries
Oil & Gas
Chemical and Petrochemical
.png)
Power Generation
These industries are characterized by a large population of critical assets, and managing those assets is a challenge in itself. Many are safety- and production-critical, where maintenance and reliability are of utmost importance.
​
A single rotating equipment failure and the resulting downtime can create hazardous conditions and cost millions of dollars. Our solution is designed to diagnose and predict, with a high level of certainty, how failures develop over time and to identify failure modes and components on their way to failure—supporting more reliable, safer, and more profitable operations.
Value Proposition
Gains
Energy availability increases and reduces operation & maintenance costs. Ability to do Just-In-Time maintenance, reduce inventory, and have more accurate lead times. Enables risk analysis with higher confidence metrics.
Novel
Physics-based models calibrated with operating data, leveraging Degradation Entropy Generation, Shannon Information Theory, nonlinear robust observers, and confidence a posteriori estimates
Savings
Reduce Cost & Inventory by 50% and save on average $9.7M.
Valuable
We provide closed-loop system monitoring (and control-aide) and diagnostics of operational health and integrity of oil field operations.
Reliability
Reduce Unscheduled Downtime by 80%, False Alarms by at least 50% and unscheduled maintenance by 25%.
Founders
Mike Bryant, Phd, PE
CEO
After obtaining a BS in Bioengineering from the University of Illinois at Chicago in 1972, Mike achieved a Masters in Mechanical Engineering at Northwestern University in 1980 and a PhD in Engineering Science and Applied Mathematics from the same university in 1981.
Benito Fernández, Phd
CTO
Benito began his career in Venezuela, where he studied Chemical Engineering in 1979 and Materials Engineering in 1981. In 1981, he moved to the US to carry out graduate research at MIT, where he received his MS in 1985 and PhD in 1988, both in Mechanical Engineering.
Antonio Machado is a seasoned mechanical engineer with over 40 years of industrial experience specializing in Rotating Equipment and Reliability. He holds a Dipl.-Ing./M.S. (1990) in Mechanical Engineering with a focus on Turbomachinery and Internal Combustion Engines from the University of Karlsruhe, Germany, and a B.S. (1983) in Mechanical Engineering from the University of Zulia, Venezuela.
Our Publication
UNCATEGORIZED
UNCATEGORIZED
