Your Partner in Predictive Maintenance

With over three decades of preventive and predictive maintenance experience, we know the importance of asset reliability in meeting production goals. Our predictive maintenance services offer condition-based monitoring technologies to improve labor and production efficiency through a data and analysis-driven approach.

Implementing predictive maintenance eliminates unplanned downtime and improves safety through the early identification of changes in machine health. When less time is spent on reactive maintenance, technicians become more efficient, production schedules are met and costs are reduced.

Predictive maintenance program saves manufacturer $43K

Predictive maintenance insights report

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According to the McKinsey management consulting firm, predictive maintenance can generate substantial savings by increasing production line availability by 5% to 15% and reducing maintenance costs by 18% to 25%.

Optimize labor and production efficiency

Predictive maintenance technologies can provide many benefits when utilized as a part of your maintenance strategy – increased insights into machine health, ability to eliminate unplanned downtime and improved productivity and long-term ROI. We utilize these technologies through our predictive maintenance services to make your factory run better and smarter.

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Sensor-based predictive maintenance

Leverage more than three decades of hands-on maintenance and reliability experience paired with the latest sensor and machine health monitoring technologies. Our condition monitoring experts analyze predictive analytics and prescribe real-time actionable insights to the onsite maintenance team to eliminate unplanned downtime and reduce maintenance costs.

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Predictive maintenance testing saves manufacturer $43K+

When an ATS engineer discovered that a transformer was overheating, he used PdM maintenance methods to resolve the issue before a failure occurred resulting in 12 hours of avoided downtime and $43,000 of avoided equipment costs.

“ATS has become an integral part of our team. Since joining us in 2003, there has been a significant reduction in machine downtime as well as an increase in our ability to predict and prevent machine failure.” – Vice President, Leading Heavy Equipment Manufacturer

Protect against downtime

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