eMaint Condition Monitoring Software

Asset health data, powerful vibration analysis, and AI-driven recommendations powered by Azima industry-leading diagnostics technology. Maximize uptime and strengthen reliability with eMaint condition monitoring.

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Meet the Software that Simplifies
Condition Monitoring

Maintenance and reliability teams already know the revolutionary potential of condition monitoring: they can set alarms, predict failures, and recommend the perfect plan of attack. Vibration is one of the earliest predictors of rotating machinery failure, and assets like motors, fans, and pumps are critical to production. But to many teams, vibration analysis is a lost art, calling for herculean effort, hours of free time, and years of experience.

eMaint condition monitoring a cloud-based software for monitoring, analyzing, and optimizing asset health. Powered by Azima diagnostics, part of the Fluke Reliability family, it simplifies vibration trend discovery for newcomers and provide experts with advanced insights. The system processes data from Azima Accel 310™ wireless triaxial vibration sensors, transforming raw measurements into actionable maintenance recommendations.

Trained on over 30 years of field data and about 100 trillion data points, the Azima diagnostics engine can detect 1,200+ fault conditions across 50 machinery component types and deliver actionable insights months before failure.

The resulting insights feed directly into eMaint CMMS, where they trigger actionable, automated work orders. Maintenance teams can set up alarms, share key asset data, and build a strategy to minimize downtime. In fact, this technology has helped customers reduce Priority 1 and 2 faults by up to 90%, cut enterprise program costs by 30%, and even increase production capacity by 2%.

To guide you on your condition monitoring journey and maximize your ROI, we also offer Remote Condition Monitoring (RCM) Services.

Maintenance Teams Can:

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Monitor Asset Health

Set up alarms to notify when vibration data from Azima Accel 310™ sensors indicates a possible failure and trigger eMaint work orders.

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Leverage AI-Powered Azima Diagnostics

Explore historical data and share trends across teams. Azima diagnostics analyze vibration data and recommend prioritized actions.

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Boost KPIs: Uptime, OEE, MTTR & More

Improve performance across key metrics, with AI-powered diagnostics leading to a 30% reduction in enterprise vibration program costs, and a 2% increase in production capacity.

What Does eMaint Condition Monitoring Do?

Monitor Assets, Set Alarms, and See Failures Coming

Downtime disasters are coming — but eMaint can help stop them in their tracks with data analyzed by the Azima diagnostics engine.

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Monitor asset health with Azima Accel 310™ sensors

eMaint condition monitoring connects seamlessly with Azima Accel 310™ wireless triaxial vibration sensors. The resultant high-resolution vibration data is analyzed to assess asset health.

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Predict faults & failures with alarms

Alarms update you on asset status and warn of developing faults through Azima AI-powered analysis. Set alarms to go off based on overall vibration or narrowband signatures that herald failures.

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Respond quickly, boosting uptime

Optimize maintenance response time. Receive email alerts and updates. View trends, FFT, envelope, and historical data.

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Advanced Analysis: Vibration Analysis, Simplified

Break free from traditional, siloed software with eMaint condition monitoring integrated with Azima Accel 310™ sensors and Azima diagnostics.

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Simple, flexible data exploration

Quickly navigate between assets, components, and sensors. Easily filter to the data snapshots you need. Drag & drop charts for comparison.

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Find the root causes of faults & prevent downtime

Track and trend overall vibration. Dive into the signal data and cascade views of historical FFTs. Discover and eliminate common causes of downtime.

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Discover strategies that strengthen machine health & reliability

Get a full picture of machine health history. Review maintenance, usage, and uptime in eMaint CMMS. Analyze vibration trends and build an asset health strategy.

AI Analysis: Get Maintenance Recommendations

When your asset is at risk, Azima software doesn’t just detect the problem, it will guide you on the next steps.

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Automatic AI analysis that helps non-experts

Azima diagnostics can detect 1,200+ fault conditions across 50 machinery component types, prioritizing findings by severity and urgency.

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AI maintenance recommendations

Get AI-powered maintenance and corrective work suggestions based on specific faults. Receive e-mail notifications with prescribed solutions. Recommendations include urgency, severity, and prescribed correction.

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Human and machine intelligence, hand in hand

Our condition monitoring experts can help you set up your sensors, interpret the data, and make the most of the AI’s recommendations.

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Remote Condition Monitoring Services: Expert Guidance, Maximum ROI

Our team is your team—global industry experts that ensure your condition monitoring program prevents failures & boosts uptime.

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Here for you every step of the way

The Remote Condition Monitoring team is at your service and flexible to your needs. Our experts will monitor your assets for you, perform comprehensive assessments, and help you with strategy, data interpretation, and support.

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Decades of experience

Our team of industry veterans are dedicated to making your program a success. We staff more than 50 CAT III and CAT IV professionals, along with ISO-trained Level II–IV analysts who provide diagnostics on over 500,000 machine tests each year. Equipped with our advanced AI, our analysts are up to 5× more efficient than traditional teams.

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Proven results

Our Remote Condition Monitoring team will save you time and labor, while maximizing uptime, strengthening reliability, and ultimately driving production.

eMaint CMMS Integration: Connect Teams, Automate Work

eMaint CMMS turns insights from the Azima diagnostics engine into coordinated action.

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Automate work orders & maximize uptime

Automate work orders to trigger based on condition monitoring alarms, reducing failure response times. See machine faults coming, sometimes months in advance, and plan ahead.

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Build time-saving workflows

Build workflows to move work orders between operations, inventory, and purchasing. eMaint also integrates with ERPs BI platforms, SCADA/PLC systems, and much more.

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Connect your teams and see the bigger picture

Simplified enterprise-level reporting gives you an eagle-eye view of condition monitoring data, maintenance history, and metric-driving insights.

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eMaint condition monitoring is versatile: asset monitoring and alarms, Azima vibration analysis tools with prescriptive maintenance recommendations are all at your fingertips.

Download Our Application Notes

How to Find Faults with eCM

How Does eCM Work?

Better Together:
CMMS, Sensors, & Condition Monitoring Software

Fluke Reliability’s tools and software are industry-leading in their own categories. But maintenance technologies are even better together. eMaint condition monitoring is powered by the Azima diagnostics engine and integrated directly into eMaint CMMS.

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Finding a condition monitoring software, sensor system, and CMMS that work together
seamlessly is rare, and eMaint delivers.

Here’s How Our Sensors and Software Deliver on the Promise of Connected Reliability:

Fluke Reliability product family

Azima Accel 310™ Wireless Triaxial Vibration Sensor

The Azima Accel 310™ is a high-resolution, wireless triaxial vibration sensor for continuous asset monitoring. It captures detailed vibration data across a wide frequency range, providing the precision needed for early fault detection. This data is processed by the Azima diagnostics engine and accessed through eMaint condition monitoring, the companion software.

eMaint Condition Monitoring

Within eMaint condition monitoring, users can view recent measurements or explore historical data with tools like overall vibration readings, time waveforms, and FFT graphs. Maintenance teams can dig into advanced vibration analysis or rely on AI-powered diagnostics to receive prescriptive maintenance recommendations — tailored to specific fault conditions and severity.

eMaint CMMS

eMaint CMMS is a maintenance & reliability software for managing work orders, PMs, assets, parts inventory, KPI reporting, and much more. eMaint CMMS connects to eMaint condition monitoring—giving MRO teams vital asset data and the power to automate work orders based on machine condition.

What does that mean? When sensors detect a fault, the Azima diagnostics engine flags it and eMaint condition monitoring outputs an alarm. The CMMS can then automatically generate a work order so repairs can be planned, not rushed. Fault-specific narrowband alarms can trigger targeted work orders, and teams can review combined maintenance and vibration history to fine-tune asset health strategies.

Frequently Asked Questions for Condition Monitoring

Condition monitoring — also called condition-based monitoring — is a proactive, preventative maintenance practice that involves tracking the performance of industrial machinery. There are two goals of this monitoring. One is to identify any abnormal performance as early as possible to prevent costly equipment downtime, damage, and failure. The other goal of condition monitoring is to prevent the unsafe working conditions that damaged equipment can create.

Condition monitoring is a critical part of operations in many industries:

  • Manufacturing (automotive, pharmaceutical, textile, etc.)
  • Oil and gas
  • Aerospace
  • Utilities and power generation
  • Food and beverage
  • Chemical processing

Sensors collect vibration data and send it to the Azima diagnostics engine in the cloud. The AI analyzes the data for signs of faults, and eMaint condition monitoring displays the results in dashboards and reports. Alarms can trigger automated work orders in eMaint CMMS so teams can take corrective action before failures occur.

Vibration analysis — also known as vibration monitoring — is one of the most common types of condition-based monitoring. This subsect of condition monitoring involves collecting data on and assessing the vibrations that machinery, equipment, and other assets emit.

Sensors such as the Azima Accel 310™ wireless triaxial vibration sensor measure vibration frequency, phase, and amplitude. Data is then analyzed via specialized software — including the Azima AI diagnostics engine, which uses over 6,000 diagnostic rules to recognize more than 1,200 fault conditions.

Issues such as misalignment, looseness, imbalances, and more can all be sources of abnormal vibrations, and vibration analysis allows maintenance teams to identify and fix those issues quickly — before any damage is done to equipment or the employees who use it.

There are many different types of condition monitoring, but these tend to be used most often:

  • Vibration monitoring (i.e., vibration analysis) – Used to monitor the vibrations of oscillating machines, parts, or systems to look for abnormal frequencies, phases, and amplitudes of vibrations
  • Electrical monitoring – Used to monitor the health of electrical systems by collecting data on electrical impedance, resistance, surge, and more
  • Temperature monitoring (i.e., thermal analysis) – Used to ensure systems stay at the appropriate temperature by helping spot signs of overheating or overcooling — both of which can damage equipment
  • Pressure monitoring (i.e., pressure analysis) – Used to collect pressure-related performance data such as on pneumatic equipment and hydraulic equipment to spot issues like leaks, blockages, and excess load
  • Humidity monitoring – Used to collect data on moisture levels to prevent issues such as equipment corrosion and degradation of product
  • Oil analysis – Used to monitor the condition of oil-based lubricants that help machines and systems physically operate with minimal friction; includes testing for viscosity, acidity, particulate contamination, and more

Condition monitoring equipment, of course, depends on the type of condition monitoring you’re using. That said, modern condition monitoring relies heavily on the use of sensors, software, and handheld devices in order to detect and interpret the necessary information.

Here are some of the most common tools and equipment that industry experts use for condition-based monitoring:

  • Pressure sensors – Measure the applied force present in systems and assets, such as the pressure of a compressor; also measures negative pressure of a vacuum to identify potential issues, like leaks, in the vacuum system
  • Temperature sensors – Measure the heat that assets generate, like the heat generated by a motor
  • Proximity sensors – No-contact sensors that measure the physical distance between two or more points, such as how far apart a bearing is from its shaft
  • Level sensors – Measure the physical levels of something in a container, such as how much liquid is in a tank
  • Flow sensors – Measure the rate of movement of media like liquids, gas, and granulated or powdered solids.
  • Handheld measurement tools – Devices such as portable sensors and handheld data analyzers that also help collect and assess relevant condition data
  • Condition monitoring management system (CMMS) – Specialized software that pools all measurement data and analyses from the various sensors and devices a company uses for condition monitoring; gives organizations better insight into all condition monitoring data, allows for creation of maintenance alarms and notifications based on custom performance parameters, and more.

Online condition monitoring (OCM) continuously collects and analyzes data from assets in real time. A network of connected sensors — often IoT-enabled — streams data to condition monitoring software.

For example, Accel 310™ sensors send data to the Azima diagnostics engine, which processes it in the cloud. The results are then available in eMaint condition monitoring, giving teams instant visibility into asset health and enabling automated responses through the CMMS.

Condition monitoring — especially continuous, online condition-based monitoring — has major benefits for companies and can help keep many critical KPIs at healthy levels. Some of the most common advantages of condition monitoring include:

  • Improved early fault detection
  • Reduced unplanned downtime/ improved uptime
  • Improved planned maintenance percentage (PMP)
  • Improved mean time to repair (MTTR)
  • Improved overall equipment effectiveness (OEE)
  • Improved asset life
  • Reduced maintenance costs
  • Improved worker safety

When powered by the Azima AI diagnostics engine, these benefits become measurable:

  • Over 98% diagnostic accuracy
  • Analyst review time reduced by up to 5×

All of these advantages contribute to a stronger bottom line through fewer failures and more efficient maintenance.

Condition monitoring has a vast array of industrial applications. Some industries that commonly use condition monitoring in their operations include:

  • Manufacturing (automotive, pharmaceutical, textile, etc.)
  • Oil and gas
  • Aerospace
  • Utilities and power generation
  • Food and beverage
  • Chemical processing

Within those industries and others, specific applications of condition monitoring include monitoring:

  • Motors
  • Pumps
  • Fans
  • Compressors
  • Gearboxes
  • Conveyor belts
  • Industrial equipment like cranes and cement crushers
  • Rotating components of machinery like turbines

Yes. With eMaint CMMS integration, vibration alarms from condition monitoring software can automatically generate work orders. You can also send fault-specific narrowband alarms to trigger targeted corrective actions, ensuring a closed-loop workflow from detection to repair.