Condition Monitoring Software

CLOSE THE LOOP BETWEEN
THE MACHINE AND MAINTENANCE.

Monitor equipment health using data from your machines and sensors. Define what normal looks like, trigger action when conditions change, and service equipment when it actually needs it. No historical failure data or data science project required.

Request a Demo Explore MaximaOS

condition monitoring hero

CALENDAR MAINTENANCE GETS IT WRONG TWICE.
TOO EARLY, AND TOO LATE.

Time-based schedules service healthy machines too early and miss problems developing between intervals. You pay for both: unnecessary parts and labor, or the failure you didn’t prevent. Meanwhile, changing machine conditions can affect part quality long before anyone connects the cause.

gauge

MAINTENANCE DRIVEN BY USAGE

Service equipment when its condition calls for it, reducing unnecessary maintenance without waiting for something to fail.

triangle-alert (3)

UPTIME ON CRITICAL ASSETS

Catch developing problems while there’s still time to act, instead of finding out when production stops.

circle-dollar-sign (2)

LESS WASTE. FEWER EMERGENCIES.

Spend less maintaining healthy equipment and avoid costly repairs on machines that needed attention sooner.

SET THE THRESHOLD.
DEFINE THE ACTION.

When a condition crosses the limit, trigger the next action automatically. Keep the history so you can see what changed, when it changed, and what happened next.

Most of what you need, the machine already reports.

Pull condition and diagnostic data directly from the machine control, including temperatures, loads, speeds, power, coolant parameters, and alarms. Monitor what the machine already knows without adding hardware.

variables and automations-1

VIBRATION, PRESSURE, FLOW, LEVEL. ADD WHAT THE MACHINE CAN’T SEE.

Connect external sensors to monitor conditions the machine doesn’t report, from vibration and pressure to flow, fluid level, and temperature. Add coverage where you need it without turning it into an integration project.

sensors

DEFINE WHAT NORMAL IS. DEFINE WHAT HAPPENS WHEN IT ISN’T.

Set limits for the conditions that matter on each machine. When something moves outside the expected range, automatically alert the right people, trigger another system, or open a maintenance work order.

Maintenance workflow

SEE THE DRIFT BEFORE IT CROSSES THE LIMIT.

See how machine conditions change over time, not just when an alert fires. Catch gradual drift early and view it alongside production data to understand what the machine was doing when conditions changed.

Group 427321943

READ THE CONDITION AGAINST WHAT THE MACHINE WAS DOING.

See condition data, alarms, machine status, and production activity on the same timeline. Look back before a fault or stoppage to understand what changed and what may have led to it.

Group 427321944

THE WORK ORDER OPENS ITSELF.

Turn a detected condition directly into a work order in MaintainX, Fiix, or UpKeep. Maintenance gets the issue when it happens, while the work itself stays in the system your team already uses.

MAintainX + condition alert

FOR FAILURES TOO FAST FOR A FIXED LIMIT.

Some problems develop too quickly for a fixed threshold. Learn the normal cutting profile and detect breakage, chipping, and abnormal cutting as they happen, with the option to stop the machine before the problem causes more damage.

tool anomoly

See It In Action

DNP turns machine data into maintenance action automatically. See how real conditions, runtime, thresholds, and alarms can trigger work orders without waiting for an operator to report the problem. FROM MACHINE SIGNAL TO WORK ORDER.

TESTIMONIALS

THEY STOPPED FINDING OUT WHEN IT STOPPED.

Usage-based maintenance on the machines that matter most, triggered from conditions the equipment was already reporting.

Explore Case Studies

newDNPImagingcommAmericaCorp

THE MACHINE TELLS MAINTENANCE WHEN TO ACT.

DNP uses real machine conditions, runtime, thresholds, and alarms to automatically trigger maintenance work orders without waiting for someone to report the issue.

WATCH THE WEBINAR →

HAMLogoPMS

CATCH THE CHANGE BEFORE IT BECOMES A PROBLEM.

Hamilton uses machine data to understand what was happening before production issues occur, giving teams the context to investigate problems and prevent them from traveling downstream.

FULL CASE STUDY →

Avalign_MedicalDevice_FullColor 2 [Vectorized]

14,000 GRINDER HOURS BACK IN A YEAR.

Avalign recovered 14,000 grinder hours in one year through manufacturing improvements informed by better production data.

FULL CASE STUDY →

Group 427322032

downtime

DOWNTIME TRACKING

See when machines stop, why they stop, and which recurring losses are costing you the most production time.

Learn More

tool life-1

TOOL LIFE MANAGEMENT

Track actual tool usage and catch tools being changed too early or failing before they should.

Learn More

quality

QUALITY & SCRAP REDUCTION

Catch process and equipment drift before it creates more bad parts.

Learn More

OEE

OEE & PRODUCTION ANALYTICS

See how equipment problems affect availability, performance, and overall production.

Learn More

EXPLORE MORE CONTENT

case study

How DNP Increased Asset Availability by 17% with Real-Time Machine Intelligence

How DNP turned machine data into action to increase asset availability by 17% with MachineMetrics and MaintainX

guide

A Guide to Preventive Maintenance in Manufacturing

Preventive maintenance is a formalized program used within manufacturing to optimize and extend the life cycle of production equipment.

Automate Your Production Monitoring with Machine Data Webinar

webinar

Transform Your Approach to Maintenance with Condition Monitoring

In this webinar, MachineMetrics will explore how condition monitoring solutions make it easy for any manufacturer to make proactive decisions based on the current health of their equipment, dramatically reducing downtime and maintenance costs and allowing maintenance teams to do more with less.

WHAT IS THE EXECUTION GAP COSTING YOU?

calculator

Manufacturing ROI Calculator | What the Execution Gap Costs You

See what production gaps cost you in overtime, scrap, tooling, and maintenance, and how fast a modern MES pays for itself. Instant results.