Keep Your Turbines Turning

Safeguard Performance, Efficiency, and Uptime with Advanced Turbomachinery Monitoring Solutions

The Challenge

Turbomachinery—turbines, compressors, and expanders—are mission-critical assets in power and process industries. Operating at extreme speeds, pressures, and temperatures, even minor faults can escalate into costly failures, outages, or efficiency losses—making continuous monitoring essential.

Turbomachinery Is Essential in:

Power Generation: steam, gas, and hydro turbines
Oil & Gas: compressors, expanders, and turbo-pumps
Petrochemicals & Refining: process compressors, blowers
Industrial Processing: turbo-compressors for air and gases

When turbomachinery performance degrades, the stakes are higher: efficiency drops, reliability suffers, and entire plants can be forced offline.

Monitoring Strategies

Turbomachinery presents unique challenges: high rotational speeds, tightly coupled subsystems, and severe operating conditions. Effective monitoring requires a multi-domain approach that can detect mechanical, thermal, and aerodynamic issues before they escalate.

Key Strategies Include:

Vibration and Dynamic Pressure Analysis to identify rotor imbalance, blade vibration, and bearing instability
Electrical Signature Monitoring for motor- and generator-driven turbomachinery faults
Temperature and Thermal Profiling to detect hot spots, cooling inefficiencies, and material fatigue
Lubrication and Oil Analysis to reveal bearing wear, contamination, or lubrication breakdown
Performance Monitoring correlating efficiency losses with flow, load, and pressure deviations

Protect Your Turbines. Protect Your Plant.

Discover how Cutsforth helps you monitor turbomachinery with confidence.

Multiphysics Diagnostic Models Built on Real-World Expertise

Cutsforth’s Integrated Diagnostic Models provide a digital blueprint for reliability by mapping known failure modes to the sensors and signal features needed to detect them. Built with input from experienced reliability engineers, the models capture optimal sensor placement, failure criticality and likelihood, and diagnostic effectiveness. The result is actionable fault intelligence—combining multiphysics measurements, deep expertise, and AI-driven optimization to clearly show how assets behave and where failures are most likely to occur.

Specific fault models are available for the following types of turbomachinery:

Gas Turbines
Hydro Turbines
Wind Turbines
Steam Turbines

Turbine Major Components and Failure Modes

Click the image hotspots below to see how turbine main components are broken into sub-components with a sample list of associated failure modes for each. Refer to the linked documents below for more details about the Turbine Integrated Diagnostic Model.

Download the Cutsforth Turbine Model Data Sheet for more on turbine failure modes, symptoms, sensors, and criticality.

To learn more about Integrated Diagnostic Models in general, download our Cutsforth Integrated Diagnostic Models White Paper.

The Risks of Doing Nothing

Failing to monitor turbomachinery is a direct threat to production and safety:

Catastrophic Failures with multi-million-dollar repair and replacement costs
Unplanned Outages that ripple through entire plants or fleets
Efficiency Losses that increase fuel use and emissions
Safety Risks from overspeed, blade failure, or thermal runaway
Regulatory and Compliance Risks in energy and process industries

How Cutsforth Helps

Cutsforth provides an integrated monitoring solution tailored to the complexity of turbomachinery:

Multiphysics Measurements: Monitoring systems across the spectrum of vibration, electrical, thermography, EMI, and more
Unified Software Platform: InsightCM™ integrates measurements, waveforms, and alarms in one pane of glass
Reliability Services: Experienced consultants help assess current practices, design monitoring programs, and implement continuous improvement strategies

With Cutsforth, operators gain the tools and expertise to detect hidden risks early, prevent catastrophic failures, and maximize performance.