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Remote Vibration Monitoring

Critical Mining Assets: Analysis, Reporting and Coaching

RMS provide remote vibration monitoring and mentoring services for mining operations where site personnel collect the data, and we handle the analysis, reporting, and coaching.

In mining and heavy industry, rotating equipment operates under continuous load, harsh environmental conditions, and tight maintenance windows. A single unexpected failure can halt production, introduce safety risks, and cost thousands per hour in lost output and emergency repair.

Remote vibration monitoring provides early fault detection, expert diagnosis, and structured risk-based maintenance decisions without requiring advanced diagnostic expertise permanently on site. Rather than simply identifying faults, we interpret trends, assess deterioration rates, and support confident, well-timed maintenance planning.

This case study shows how RMS supported a mining operation in identifying a developing bearing fault, monitoring its progression, and making the right call at the right time avoiding catastrophic failure while maintaining production targets.

The goal? Not just to detect faults – but to build site capability and improve reliability maturity.

The Situation

During recent surveys, we identified bearing defect signals and then an increasing looseness level on a blower shaft.

Trend analysis showed a clear deterioration pattern. Amplitudes were rising, and defect frequencies were becoming more defined. While we didn’t have internal inspection data at the time, the signature strongly suggested a developing bearing raceway defect and lubrication issue.

As bearing defects develop, vibration signatures become increasingly defined at specific defect frequencies often linked to inner race, outer race, or rolling element damage. In this case, the pattern suggested a developing raceway defect combined with lubrication degradation.

Looseness trends also began to increase. While looseness can indicate structural issues, in this case it aligned with bearing deterioration – reinforcing the diagnosis.

Trned DE H

We Asked the Key Questions:

  • Is the bearing oil or grease lubricated?
  • Can lubrication condition be checked or sampled?
  • When was it last inspected?
  • Are we running this to failure or planning a controlled change-out?

These are the questions that turn vibration data into reliability decisions.

What the Vibration Data Revealed

Rising amplitudes alone do not confirm failure, but when combined with clearly defined defect frequencies, they provide strong evidence of mechanical degradation.

  • Increasing overall amplitude suggested progressive energy release within the bearing.
  • Defined defect frequencies indicated localised raceway damage.
  • Harmonic patterns reinforced the presence of a developing fault.
  • Lubrication breakdown likely accelerated surface fatigue and vibration response.

This layered interpretation is where analysis matters. Without contextual interpretation, vibration data can lead to premature shutdowns or missed warning signs. Expert analysis ensures the response matches the risk. Data without context creates noise. Trend interpretation turns signals into decisions.

At this stage, the defect was developing, not yet catastrophic, which created a critical decision window.

The Operational Reality

This is a mining site. Production matters. Shutdown windows are limited.

The asset had to be pushed, safely and knowingly, to reach the next maintenance stop. Because we had reliable trend data, we could support that decision with confidence rather than guesswork.

In mining operations, the decision to continue running an asset with a known defect must be made carefully. Shutting down too early sacrifices production. Waiting too long risks secondary damage, safety incidents, or extended downtime.

Because the defect progression was gradual and consistently trended, we could assess:

  • Rate of deterioration
  • Remaining operating window
  • Risk of sudden failure
  • Alignment with planned shutdown schedules

This is the difference between reactive maintenance and controlled reliability.
It’s not about avoiding defects, it’s about managing them intelligently.

Acceleration TWF

And This is Where Trend is Your Friend

  • We knew there was a defect.
  • We monitored progression.
  • We assessed risk.
  • We helped the site extract maximum value from the asset without unexpected failure.

Why Trend Data Matters More Than Single Readings

A single vibration reading is a snapshot in time. It may indicate concern, but it rarely provides enough context for high-confidence decisions.

Trend data, however, shows behaviour over time. It reveals:

  • Whether a defect is stable or accelerating
  • Whether amplitude spikes are transient or structural
  • Whether intervention can be delayed safely
  • How rapidly risk is increasing

In this case, trend stability gave the site confidence to continue operating safely until the next scheduled stop extracting maximum value from the asset without gambling on its condition.

The Outcome

At change-out, the photos sent through told the story; clear bearing damage consistent with the vibration diagnosis.

When the bearing was removed, visible raceway damage confirmed the vibration diagnosis precisely. This is a critical moment in any condition monitoring programme – physical confirmation builds trust in data-driven maintenance.

The replacement blower data showed a return to healthy baseline vibration levels, reinforcing that the issue had been correctly identified and resolved.

This closed-loop validation strengthens long-term confidence in remote monitoring systems and accelerates reliability maturity.

Bearing strip down DE

Feedback Loops are Important

The site also sent updated data from the replacement blower, confirming a return to healthy baseline levels.

  • Diagnosis validated.
  • Decision justified.
  • Failure avoided.

Turning Data into a Reliability Decision

  • Run-to-failure vs controlled change-out
  • Risk tolerance in mining
  • Production pressure vs safety
  • How trend stability influences decision confidence

Reliability is not the absence of risk, it is the management of risk.

The Bigger Picture

This Case Highlights Something ImportantCAT II Vibration Analysis RMS Training

You don’t need high skill levels on site to achieve high reliability outcomes, although we do recommend professional training over time for key personnel to develop internal core strength.

Importantly, this outcome was achieved without requiring advanced diagnostic expertise permanently on site. Through mentoring and structured feedback, site personnel strengthened their understanding of vibration trends, lubrication influence, and fault progression.

Over time, this approach reduces reliance on emergency responses and builds internal reliability confidence creating a more resilient operation. This is how sites move from dependency on external expertise to sustainable internal capability without compromising technical accuracy.

What You Need:

  • Consistent data collection
  • Clear communication
  • Strong analysis support
  • A team approach

What This Means for Mining Operations

  • Fewer emergency breakdowns
  • Better shutdown planning
  • Reduced inventory pressure
  • Stronger maintenance confidence
  • Increased asset life

This case demonstrates how remote monitoring, when combined with mentoring, transforms condition data into sustainable reliability improvement.

The Insight

Remote monitoring combined with mentoring allows sites to build capability while still getting expert-level analysis behind them. That’s how you move from reactive to controlled reliability.

Ready to Move from Reactive to Controlled Reliability?

If your site collects vibration data but lacks advanced analysis capability, RMS can provide expert-level remote monitoring and mentoring support. Let’s turn your condition monitoring data into confident, risk-aligned maintenance decisions.

The result:

  • Earlier fault detection
  • Smarter shutdown decisions
  • Reduced catastrophic failure risk
  • Improved reliability maturity
  • Stronger risk-based decision making

If you’re of the same mindset and need a partner on your reliability journey, RMS is here to help.

Speak to our team
Request a Remote Monitoring Consultation
Explore our Reliability Services

This post was created in collaboration with senior VA engineers, Dean Whittle and James Sylvester.

Dean Whittle James Sylvester

FAQs: Remote Vibration Monitoring

What is remote vibration monitoring and how does it work?

Remote vibration monitoring is a service where site personnel collect machine condition data, and our experts handle the analysis, reporting, and technical guidance off-site. At RMS, we don’t just detect faults, we interpret trends, assess risk, and help you make informed maintenance decisions. This approach combines expert diagnostics with on-site data collection delivering local ownership backed by specialist support.

Can remote monitoring really detect bearing faults before failure?

Yes. In this case, we identified clear bearing defect frequencies and increasing looseness on a blower shaft through trend analysis. Rising amplitudes and more defined defect frequencies indicated a developing raceway defect and lubrication issue well before catastrophic failure occurred. By tracking progression over time, we supported a controlled change-out rather than reacting to an unexpected breakdown.

What if we don’t have high-level vibration expertise on site?

You don’t need advanced diagnostic specialists on site to achieve strong reliability outcomes. What you need is consistent and accurate data collection, clear communication, expert analysis support, and a team-based approach. Our remote monitoring and mentoring model is designed specifically to build your site capability while providing expert-level analysis in the background. Over time, this improves reliability maturity across your operation.

How do you support maintenance decisions when shutdown windows are limited?

In industries like mining, production comes first and shutdowns are planned carefully. In this case, the asset needed to safely operate until the next scheduled maintenance window. Because we had reliable trend data, we were able to confirm a defect was present, monitor its progression, assess operational risk, and support running the asset safely to the planned stop. This allowed the site to extract maximum value from the equipment without suffering an unexpected failure.

What are the benefits of remote monitoring compared to reactive maintenance?

Reactive maintenance leads to unplanned downtime, higher costs, and operational disruption. With remote monitoring and mentoring, you gain early fault detection, risk-based decision support, planned controlled maintenance, reduced likelihood of catastrophic failure, and improved site capability and confidence. In this case, the bearing damage found at change-out matched the vibration diagnosis exactly validating the approach and avoiding unplanned failure.