Detecting a Gearbox Fault on a Beverage Filling Line — Before It Stopped Production

The Client & Asset

Client: Leading beverage manufacturing company.

Monitored asset: A SIDEL 2010 filling machine with 90 filling valves, producing up to 36,000 bottles per hour across three formats. The line runs continuously between 24×6 and 24×7 depending on season. Any gearbox or motor failure requires a full line stoppage plus post-repair cleaning procedures — making unplanned downtime especially costly. Before Predicore, the estimated failure rate was one event every 3 months, with an average repair time of 8 hours per event.

The Problem: Early Gearbox Oil Loss Detected by Vibration

On October 18, 2022, Predicore AIâ„¢ detected a change in condition on Gearbox 2 of the filling machine, flagging an increase in high-frequency vibration. Cross-referencing against dozens of similar assets in the platform, the AI pointed to lubrication deficiency, contaminated lubricant, or rotating component friction as probable causes.

On inspection, the team found a low oil level in the gearbox due to oil loss — a fault that, left unaddressed, would have progressed to catastrophic gearbox failure during active production, triggering an unplanned stoppage and emergency repair on a line with no downtime buffer.

The Solution: A Planned Gearbox Replacement, No Emergency

Following Predicore’s recommendations, the maintenance team inspected the oil level, analyzed an oil sample for metal particle contamination, and scheduled a planned gearbox replacement during the next programmed shutdown. Post-intervention vibration data confirmed the fault had been fully resolved and the asset returned to normal operating range.

Proven at scale. Trusted by operations that can’t afford to stop.

  • 8 hours

    Downtime avoided

  • $12,000

    Gearbox savings

  • 288,00 (350 ml)

    Bottles protected

  • Planned — zero impact

    Maintenance executed

Frequently Asked Questions

How is a gearbox fault detected before it fails? Continuous vibration monitoring tracks high-frequency signals that rise when a gearbox loses lubrication or develops friction. When readings cross a threshold, the anomaly is flagged and validated, often weeks before the fault would cause a failure.

Why is downtime so costly on a beverage filling line? A gearbox or motor failure requires a full line stoppage plus post-repair cleaning procedures. On a line running up to 36,000 bottles per hour with no downtime buffer, every hour lost represents tens of thousands of unfilled bottles.

What causes gearbox oil loss on a filling machine? Oil loss can stem from seal wear, leaks, or over-temperature operation, leading to low lubrication levels and rising friction. Early detection allows a planned oil top-up or gearbox replacement instead of a catastrophic in-production failure.

About Predicore

Predicore is a Maintenance Operations Intelligence platform that combines proprietary wireless sensors, purpose-built AI, and a 24/7 certified analyst team to detect equipment faults before they become failures — connecting asset risk with the people responsible for acting on it.

Early Bearing Fault Detection Prevents Downtime at a Food Production Plant

The Challenge: A Critical Fan With No Downtime Window

Client: Leading multinational food company.

Asset: Industrial drying line running 24/7, belt-driven fan under variable load, located in a hard-to-reach area outside daily inspection rounds — exactly the kind of equipment manual rounds tend to miss until it fails.

The Problem: Early Bearing Wear Detected by Vibration Analysis

Between February 23 and March 13, Predicore’s Wiverâ„¢ sensor detected a progressive increase in high-frequency vibration on the fan’s non-drive-end (NDE) bearing. Predicore AIâ„¢ automatically flagged the anomaly as levels crossed the warning threshold, pointing to a lubrication deficiency with early bearing wear indicators.

The Monitoring Center — staffed by ISO 18436 CAT II & III certified vibration analysts — reviewed and validated the findings through FFT analysis.

Left undetected, the fault would have progressed to catastrophic bearing failure and an unplanned stoppage on a line with no available downtime windows.

The Solution: A Planned Response, No Emergency Shutdown

The Monitoring Center guided the client through a structured, condition-based response: scheduled lubrication cycles from March 13 to April 24, followed by a planned bearing replacement during an available operational window — no emergency shutdown, no production impact.

Results

  • USD $75,000+

    Estimated savings

  • Planned — zero production impact

    Maintenance executed

  • 10 hours

    Downtime avoided

  • None

    Overtime costs

“Their early alerts help us schedule shutdowns and address minor deviations before they escalate.” — Eng. N. Suarez, Engineering & Maintenance Manager

Frequently Asked Questions

How can a bearing fault be detected before it fails? Continuous vibration monitoring tracks high-frequency signals that rise as a bearing begins to wear. When levels cross a defined threshold, the anomaly is flagged and validated by certified analysts using FFT analysis — typically weeks before a failure would occur.

What is condition monitoring in food manufacturing? Condition monitoring uses sensors to track the real-time health of critical equipment like fans, motors, and pumps. In 24/7 food plants with no downtime windows, it lets teams move from reactive repairs to planned maintenance, protecting both uptime and food safety.

How much downtime can predictive maintenance prevent? It depends on the asset, but in this case early detection avoided roughly 10 hours of unplanned downtime and over $75,000 in costs by converting an emergency failure into a scheduled repair.