PHYSICS ASSET LIBRARY
An integrated multidimensional and multimodal approach using machine learning and physics-based diagnostics supports significantly greater asset reliability and early fault detection to maximize uptime.
We develop proprietary performance models (digital twins) that compare equipment performance to as-tested or site baseline performance. Our current Asset Library includes over 95% of Turbomachinery equipment typically installed in heavy process industries.
An OEM Agnostic Platform
- Centrifugal Compressors
- Reciprocating Compressors
- Screw Compressors
- Centrifugal Pumps
- Hydraulic Variable Speed Gearboxes
- Gas Turbines
- Steam Turbines
- Gas Engines
- Induction/Synchronous Motors/Generators
- Hydraulic Expanders
- Radial Inflow Gas Expanders
- Heat Exchangers
- Control Valves
OEM Equipment on the Platform
- Baker Hughes
- Siemens
- Dresser-Rand
- Flowserve
- GE Alstom
- Howden
- Elliott Group
- WEQ
- Gould Pumps
- John Crane
Typical Issues Identified by Turbomechanica
- Fouling / Degradation
- Vibration Issues (rubs, varnish looseness, changes in balance state, fluid excitation…)
- Surge / Stonewall
- Liquid Carry Over
- Excessive Thrust
- Poor Load Balancing, Recycle Balancing
- Overload
- Recirculation / Deadhead Operation
- Flashing
- Valve Leakage
- Packing Leakage
- Motor Winding Issues (insulation, cooling…)
- Dry Gas Seal Issues (contamination, hang up…)
- Fluid Contamination
- Internal Losses / Wear
- Blocked Suction Strainers
- Instrument Drift
- Instrument Faults and Control System Issues
- Changes in Gas Composition
- Driver Issues (such as steam turbine scaling)
- Stuck and Out of Position Clearance Pockets
- Over Torque Issues
- Incorrect Startup and Shutdown
