Condition Monitoring Is Not the Biggest Opportunity for Machine Builders

Condition Monitoring Is Not the Biggest Opportunity for Machine Builders

When machine builders think about connected machines, the first application that often comes to mind is condition monitoring.

Can we predict bearing failures?

Can we detect gearbox damage?

Can we identify abnormal vibration before a breakdown occurs?

These are valuable questions.

But they are probably not the questions that create the greatest competitive advantage.

Condition monitoring is already a mature market

For standard equipment such as pumps, fans, compressors and electric motors, condition monitoring has become remarkably effective.

The reason is simple.

Companies specializing in condition monitoring have spent decades collecting historical data from thousands of similar machines. They have built extensive databases of failure modes and trained their algorithms on an enormous number of real-world cases.

Their competitive advantage comes from experience.

If your goal is to detect known failures on mature equipment, these companies are often the best partners. They have already seen the problems your machines are likely to encounter.

Trying to compete directly with that accumulated experience is rarely the best investment for a machine builder.

Machine builders have a different advantage

Machine builders possess something far more valuable than historical failure data.

They understand the machine itself.

They know why the machine was designed the way it was.

They know the simulation models.

They know the design assumptions.

They know which components are expected to be critical long before the first machine leaves the factory.

That knowledge simply doesn't exist at a generic condition monitoring company.

Stop asking "What can fail?"

Instead, ask:

"How are our customers actually using our machines?"

That question changes everything.

Customers almost never operate machines exactly as designers imagined.

They process different products.

They run different duty cycles.

They overload certain functions.

They ignore others completely.

Every customer develops a unique operating profile.

Understanding that operating profile creates enormous value.

Not only for service.

But for engineering, product management and future machine development.

Performance monitoring creates engineering knowledge

Instead of focusing exclusively on detecting failures, machine builders should monitor how their machines actually behave in the field.

Which operating regimes dominate?

Which functions create the highest loads?

Which customer settings are used most frequently?

Where do simulation models differ from reality?

Which design assumptions prove to be wrong?

Those insights are impossible to obtain during development alone.

They only emerge once machines begin working in real customer environments.

Every installed machine becomes a source of engineering knowledge.

Measure the physics that matter

If the objective is to improve future machine generations, not every sensor provides the same value.

Focus on measurements that explain the physics of the machine itself.

In many drivetrains, the highest engineering value comes from:

• Torque measurements that reveal how loads propagate through the machine.
• Power flow measurements that expose where energy is transferred, lost or converted.
• High-frequency dynamic measurements on critical components that capture transient phenomena invisible to conventional monitoring systems.

These measurements do much more than detect failures.

They validate simulation models.

They explain customer usage.

They identify design margins.

And they reveal opportunities for the next generation of machines.

Context is more valuable than data

Collecting sensor data alone is not enough.

Every measurement should be linked directly to the engineering context.

Which software version was running?

Which machine configuration was installed?

Which operating mode was selected?

Which product was being processed?

Which customer settings were active?

Only when sensor data can be mapped one-to-one to machine configuration and operating conditions can meaningful relationships be discovered.

Measurements without context become isolated datasets.

Measurements with context become engineering knowledge.

Start with pilot projects

You don't need to instrument every machine you have ever built.

Start with a handful of strategic customers.

Measure the critical parts of the machine.

Capture the engineering context.

Analyse the data together.

Those pilot projects create something far more valuable than dashboards.

They create a shared understanding between you and your customer.

Over time, that shared understanding becomes a competitive advantage that is extremely difficult to replace.

Your value is no longer limited to the machine you delivered.

It becomes the knowledge you continuously build together with your customer.

The real business case

Many companies try to justify monitoring by predicting failures.

That business case is often difficult.

At the beginning of a product's lifecycle, you don't yet know which failures matter most, how frequently they occur or what they truly cost your customer.

Performance monitoring offers a much stronger business case.

It helps you understand how customers use your machines.

It improves future designs.

It strengthens customer relationships.

And it significantly increases your chances of winning the next machine order.

Condition monitoring helps maintain today's machines.

Performance monitoring helps design tomorrow's.

For machine builders, that is where the greatest value lies.