Podcast- Firefighting is not a Maintenance Strategy

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Hydro’s Robert McCowan and Ares Panagoulias joined Plant Services’ chief editor Tom Wilk to talk about how condition monitoring is key to helping turn data into action and closing the feedback loop between workers and systems.

Key Takeaways

  • Define goals, roles, and critical assets before deploying sensors to avoid data overload and improve program success.
  • AI can enhance condition monitoring, but human expertise is still needed to add context and validate recommendations.
  • Dashboards should guide technicians to issues, not replace hands-on equipment inspections and operational awareness.
  • Predictive maintenance delivers ROI only when data-driven insights lead to timely maintenance actions and follow-through.

You can listen to the podcast below or browse all of Plant Services’ Great Question podcasts here.

Want to expand your knowledge? Explore Plant Services magazine or read our case studies focused on Hydro’s work in troubleshooting and vibration analysis.

Hydro Welcomes Travis Nixon to Hydro Parts Solutions

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Hydro is excited to welcome Travis Nixon as the Operations Manager for our Hydro Parts Solutions division.

Travis has been in the aftermarket pump parts industry for 19 years. Over that time he has worn many hats, including engineering, sales, customer service, procurement, and project management.

Travis worked for Standard Alloys for  about 10 years in their engineering and technical support department. During his time there, he learned every aspect of manufacturing pump parts: reverse engineering, pattern making, mold and core production, hydraulic rerates, machining, and pump repair.

He joined PumpWorks Castings in 2017 to help make their in-house foundry more profitable through aftermarket parts manufacturing. While with PWC his main responsibility was reverse engineering and machine shop management, but he gradually took on more duties within the business, including foundry engineering, outside vendor vetting, final inspection, and project management.

We look forward to working with Travis to continue to provide high quality cast and machined parts to our customers around the world.

State of the Art Parts- Expedited Stuffing Boxes

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Hydro Parts Solutions recently manufactured two stuffing boxes for an injection pump at a Gulf Coast refinery.

An issue at the refinery had caused two of the stuffing boxes for this application to fail. Because of this unexpected failure, the end user required six new stuffing boxes on an expedited basis.

Hydro Parts Solutions was able to reverse engineer and machine these components from AISI 4140 steel on an aggressive timeline, providing the first two stuffing boxes within 4 days. The remaining four components were completed within 9 days.

Learn more about Hydro Parts Solutions here.

Hydro South Opens Florida Expansion

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The team at Hydro South have opened a shop in Florida to better serve their expanding customer base in the Southeast.

Hydro South has taken on several key customers in the Sunshine State over the last few years. While their primary facility in Georgia was keeping up with the workload, space and manpower at the Cumming shop were approaching their limits. In early 2025, Hydro started the process of identifying possible expansion sites for Hydro South. Florida was the obvious choice, as it was close to many of the division’s major customers.

In late summer 2025, the team found a former steel mill in Starke, FL that was leasing out a 35,000 sq.ft. bay. Equipped with two 10-ton cranes and one 7.5-ton crane, it was an ideal space for an auxiliary shop.

The Starke shop is equipped with a new air compressor, welding capabilities, and a blasting station. As it builds its machining capabilities, the new shop will work in tandem with Hydro South to provide the full spectrum of Hydro’s service to its customers.

Congratulations to Hydro South, we’re excited to see you grow!

When Rate of Change Tells the Real Story

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Some failures don’t arrive with a bang. They begin with a whisper.

This one wasn’t on anyone’s radar. The system made sure it didn’t stay that way.

On what had been a stable motor, lower bearing acceleration sat comfortably around 0.5 G. No alarms. No troubling trend. No reason for anyone to hover over that signal. It simply existed in the background, as most healthy assets do.

Then it started to move.

0.5 G to 1 G.
1 G trending toward 3.5 G.

Not a spike. Not noise. A rate of change that didn’t belong.

At around 1 G, the system flagged it automatically. The alert was not based on a static threshold alone. It recognized abnormal acceleration growth, consistent with developing bearing damage such as pitting, wear, or abrasion. The model assigned a defined confidence level and pushed it forward.

That is when our analysts stepped in.

We reviewed the data, validated the signal, and contacted the customer. They isolated the motor and performed a no load test.

Confirmed. Lower motor bearing damage in progress.

Here is the part that matters.

No one was actively watching that motor for bearing failure. Not because the team lacked skill or discipline. Quite the opposite. In industrial environments, attention is directed toward known risks, existing alerts, and constrained resources. That is how prioritization works.

This motor was not a known risk.

The system caught what had no reason to be in view.

This is where the model proves its value. Continuous monitoring across all assets. Detection driven by rate of change, not just absolute thresholds. Human expertise layered on top for validation and action.

That combination changes the equation.

Instead of waiting for vibration to cross a hard alarm limit, we identify when behavior begins to deviate from its own history. We see the story forming before it becomes expensive.

There is no substitute for good data. There is no replacement for field experience. But when those are paired with intelligent background detection, we stop relying on what happens to be visible. We begin catching what is quietly shifting out of bounds.

And often, that is where failures truly begin.

Where have you seen rate of change tell the story before absolute levels did?

#ConditionMonitoring #PredictiveMaintenance #VibrationAnalysis #ReliabilityEngineering #IndustrialAI #RotatingEquipment

Start catching what your alarms are missing. See how early detection can change your maintenance strategy, here.