What’s New in Vibration Monitoring
Vibration analysis is one of the oldest and most trusted condition monitoring methods in industry. The physics has not changed. What has changed, and changed quickly over the past few years, is how vibration data gets collected, processed, and turned into a decision.
Sensors cost a fraction of what they used to. Processing happens at the edge instead of in a back office. Analytics run continuously rather than on a quarterly route. And vibration is no longer evaluated on its own, but alongside electrical, thermal, and process data in a single platform.
Here is what has actually moved, and what it means for reliability teams planning their next monitoring investment.
In This Article
- Wireless Monitoring Crossed the Cost Threshold
- Edge Processing Replaced the Raw Data Dump
- Automated Fault Detection Became the Baseline
- Vibration Stopped Working Alone
- Legacy Protection Systems Finally Got a Data Path
- Standards Kept Expanding
- Traditional vs. Modern Vibration Monitoring
- Getting Started with Cutsforth
Wireless Monitoring Crossed the Cost Threshold
For decades, continuous vibration monitoring was reserved for a handful of critical machines because cabling, conduit, and installation labor made everything else impossible to justify. Battery-powered wireless sensors changed that math.
Modern wireless vibration sensors mount directly on the asset, eliminate the cable run, and deploy in a fraction of the time. That opens up continuous coverage on the motors, pumps, and fans that used to get a technician with a handheld analyzer once a quarter, if they got attention at all.
Cutsforth wireless monitoring uses Erbessd hardware for vibration and temperature, and feeds that data into the same platform as the wired systems. The practical result is that a plant can build one monitoring strategy instead of two disconnected ones.
The tradeoff is real and worth stating plainly. Wireless sensors typically sample on an interval rather than continuously, and they are best suited to non-critical and semi-critical equipment. They expand coverage. They do not replace permanently installed systems on your most critical rotating assets.
Edge Processing Replaced the Raw Data Dump
Early online systems generated enormous volumes of raw waveform data and pushed all of it upstream, which strained networks and storage and left analysts sorting through noise.
Current systems do meaningful work at the acquisition point. Intelligent edge processing handles filtering, feature extraction, and trigger logic locally, so only relevant, high-value data moves across the network. Cutsforth vibration systems capture high-fidelity data using 24-bit acquisition and fast sampling, then use edge processing to keep bandwidth and storage requirements manageable while continuous monitoring runs.
This is the change that made plant-wide continuous monitoring practical. Without it, coverage scaled linearly with network and storage cost.
Automated Fault Detection Became the Baseline
Automated analytics are no longer a differentiator. They are the expectation. Modern platforms detect fault frequencies, trend them over time, and alarm on deviation without an analyst manually pulling spectra.
InsightCM delivers high-resolution waveform capture with automated fault detection and trend analysis, and gives analysts the full diagnostic toolset when they need to dig in: time waveform, spectrum, fault frequency trends, spectral cursors, orbit plots, Bode plots, waterfall plots, shaft centerline charts, and envelope spectrum.
Worth being honest about what automation does and does not do. Algorithms are excellent at flagging that something changed. Determining what changed, whether it matters, and what to do about it still benefits from an experienced analyst. The value of automation is that it puts the right machines in front of that analyst instead of asking them to look at everything.
One vibration analyst at a Midwest power plant described the shift this way: travel time to analyze issues dropped from roughly 50 to 70 percent of the job down to about 20 percent, and units that once waited four or five hours to start could move faster.
Vibration Stopped Working Alone
The clearest change in the field is that vibration is now one input among several rather than the whole program.
Vibration is outstanding at mechanical faults: imbalance, misalignment, bearing defects, looseness, gear wear, cavitation, and resonance. It is far less useful for rotor bar defects, stator winding degradation, insulation breakdown, or partial discharge activity. Those show up in electrical signature analysis, electromagnetic interference monitoring, and thermography.
Cutsforth multiphysics condition monitoring brings those measurements into one platform so vibration data can be correlated against electrical, thermal, and process signals. A vibration alarm that coincides with a thermal anomaly and a load change tells a much more complete story than a vibration alarm alone.
Cutsforth also supports third-party sensor integration, which matters for plants that have already invested in hardware they do not want to rip out.
Legacy Protection Systems Finally Got a Data Path
Many critical machines run on protection systems installed decades ago. They do their job, but they have limited communication and analysis capability, and they sit on control networks that plants are rightly unwilling to open up.
The Cutsforth Vibration Data Management System (VDMS) addresses this directly. VDMS is a permanently installed system for continuous, high-fidelity acquisition on critical assets, and it connects to existing protection systems through buffered analog outputs. That pass-through design adds modern online monitoring to legacy hardware, and because the communication is one-way, the buffered outputs act as the security boundary. Plants can route condition data to standard business IT networks without a data diode and without touching the protected control network.
For utilities weighing cybersecurity requirements against the case for better data, this is often the detail that unlocks the project.
Standards Kept Expanding
The measurement and evaluation standards behind vibration monitoring continue to develop alongside the technology. The ISO 20816 series added Part 21 in 2025, covering horizontal axis wind turbines, and Part 2, which governs land-based gas turbines, steam turbines, and generators above 40 MW, received an amendment in 2024.
The direction is toward more asset-specific evaluation criteria rather than one general set of limits. For reliability teams, that means alarm thresholds carried over from a general guideline may no longer reflect current best practice for a given machine class. It is worth a review. You can see the current scope of ISO 20816-21:2025 directly from ISO.
Traditional vs. Modern Vibration Monitoring
| Factor | Traditional Route-Based Approach | Modern Continuous Monitoring |
|---|---|---|
| Data collection | Handheld analyzer on a monthly or quarterly route | Continuous or scheduled automated acquisition |
| Asset coverage | Limited by technician time and travel | Scales across large asset populations |
| Installation cost | Low upfront, high recurring labor | Wireless is low cost and fast; wired is higher upfront |
| Fault detection timing | Depends on where the fault falls in the route cycle | Early detection, often months ahead of failure |
| Analysis | Manual review of collected spectra | Automated fault detection, trending, and alarming |
| Data context | Vibration evaluated in isolation | Correlated with electrical, thermal, and process data |
| Best fit | Small asset counts, low criticality, tight capital | Critical assets, large fleets, formal reliability programs |
Route-based collection still has a place. Cutsforth offers route-based monitoring for exactly that reason. The strongest programs usually blend all three tiers: routes for low-criticality equipment, wireless for balance of plant, and permanently installed systems for the machines that cannot go down.
Getting Started with Cutsforth
Most plants do not need to monitor everything. They need to monitor the right things at the right level of fidelity, and connect that data to a decision process that actually changes maintenance behavior.
A practical starting sequence:
- Rank assets by criticality. Separate the machines that stop production from the ones that inconvenience it.
- Match the technology to the tier. VDMS and wired systems for critical assets, wireless for balance of plant, routes for the rest.
- Check whether vibration alone covers your dominant failure modes. If motor or generator electrical faults are on your list, plan for a multiphysics approach from the start.
- Build the financial case before the technical one. The Cutsforth Reliability ROI Calculator translates downtime and maintenance spend into terms leadership will recognize.
Cutsforth brings more than 600 years of combined rotating equipment experience across a customer base of over 1,200 organizations worldwide, and Cutsforth reliability services can help assess your current practices, design the monitoring program, and support it once it is running.
Talk with a Cutsforth expert about where vibration monitoring fits in your reliability strategy.
About the Author
John Pasquarette is a product and marketing leader with a long track record in industrial technology, engineering software, and IoT sensing. He has led product and marketing teams at companies including Cutsforth, National Instruments and Monolith, where his work has centered on helping engineers and manufacturers turn sensor data and analytics into better decisions. Based in Austin, Texas, he writes and speaks on condition monitoring, predictive maintenance, and the Industrial Internet of Things.