Monitor stator winding health continuously, while the motor runs.
Measured at the electrical cabinet.
Open an asset and generate a report explaining the finding, the evidence behind it and the recommended next steps.
The maintenance team had already investigated the fan using motion amplification, vibration analysis and MCSA. Artesis Insight™ identified a flow-turbulence pattern and recommended checking the dampers.
The team confirmed the dampers as the root cause.
Review condition across your monitored fleet, filter by site or asset group, then open the machine behind an alarm.
See critical assets, active alarms, running status and monitoring coverage together.
Filter by site and asset group. Compare equipment status, health and power quality in the asset list.
Go directly to the machine's electrical analysis, spectra and operating trends to investigate.
Compare potential savings in kWh and your selected currency, using measured motor operation, equipment data and electricity tariffs.
Estimate excess energy associated with identified faults and the potential saving from repair.
Use the measured load profile to assess oversizing and compare a better-sized motor.
Compare higher-efficiency alternatives, including IE3 and IE4, against the motor's actual operating profile.
Compare speed changes, impeller trimming or pump replacement against the required flow and head.
Explore pump analysis ›
Review projected annual savings, enter implementation costs and compare estimated payback with your investment target. Loading, operating time, efficiency and your tariff support the calculation.
Savings are estimates by action. Overlapping options are evaluated as alternatives.
Assign the work, review what changed after the intervention and record supported value in one shared history.
Review the issue and its evidence.
Bring related findings and recommendations into one case.
Assign ownership, dates and completion criteria. Record an external work-order reference.
Compare before and after an intervention, with operating conditions in view.
Record supported outcomes and their verification status in the value ledger.
Different machines call for different analysis. Explore the questions OmniSight helps your engineers investigate.
Examine phase balance, motor loading and winding or connection fault patterns alongside electrical-signature findings and trends.
Use the machine's learned electrical behavior and operating context to investigate the finding before deciding on an inspection or repair.
Motors · Compressors · Fans · Conveyors · Mixers · Other supported motor-driven equipment
Compare the operating point with reference and working curves. Review flow, head, estimated efficiency and time outside preferred operating regions.
Evaluate applicable changes to speed, impeller size or pump selection against operating history and energy costs.
Monitor stator winding condition and phase imbalance while the generator runs. Examine rotor and excitation-related fault indications alongside changes in load and electrical output.
Use the findings and their trends to focus the next inspection on the part of the generator that needs attention.
Available fault assessments depend on generator type and the installed measurements.
Use the generator's electrical signals to investigate winding problems, electrical imbalance and mechanical disturbances reflected from the drivetrain.
Compare fault signatures with speed and load to understand when a problem appears and focus follow-up inspection.
Coverage is matched to the turbine's generator, converter and measurement arrangement.
Compare measured energy consumption and electricity costs across your monitored assets. Open an individual machine to examine its loading, power factor and power-quality trends.
Review estimated savings from fault correction, better motor loading or an efficiency upgrade to decide which opportunities deserve attention first.
Define the assets, monitoring approach and deployment around your site requirements. Establish the first group of assets, then extend the program across your operation.
Choose a cloud deployment for teams reviewing equipment across locations.
Choose an on-premises deployment where local hosting is part of your operational or IT requirements.
Follow motor-driven equipment during operation through electrical measurements at the cabinet.
Bring supported generator applications into your condition-monitoring program.
Extend coverage through scheduled testing. AMTPro Cloud currently operates separately.
Unified OmniSight view · ComingExplore OmniSight with your equipment, deployment requirements and reliability workflow in mind.
Where continuous operation is crucial for maximum productivity, any failure in the smelting process can lead to substantial production delays and significant material costs. Artesis emerges as the ideal ally for the iron and steel industry, offering unparalleled condition monitoring tailored for challenging environments.
Artesis is here to support the energy sector with our advanced system for monitoring and predicting issues. In an industry where a steady power supply is crucial, our technology plays a key role in ensuring things run smoothly. Our special software is great at spotting potential problems early in rotating equipment, acting like an important early warning system. This is especially important in the energy sector, where unexpected breakdowns can lead to disruptive power outages affecting businesses, homes, and critical infrastructure. Artesis significantly contributes to the reliability of the energy sector by offering an effective predictive maintenance solution. By looking at patterns over time, our technology gives an early sign of possible issues. This helps grid operators plan ahead, taking actions to prevent power disruptions and ensuring a constant energy supply to industries and communities.
The logistic and transportation industry faces significant challenges when it comes to downtime costs, with unplanned disruptions leading to schedule delays, missed delivery dates, and additional charges. Artesis plays a crucial role in minimizing these challenges by providing continuous monitoring of asset health, offering timely insights into the need for repairs.
Artesis introduces an advanced Predictive Maintenance (PdM) solution tailored for the automotive industry. Our system, Artesis e-MCM, is designed for simplicity, requiring minimal installation efforts and offering low start-up costs. With no need for sensor installation on equipment and the ability to function in non-EX areas, Artesis e-MCM is an ideal solution for inaccessible automotive equipment.
The food and beverage industry faces unique challenges, particularly concerning hygienic standards and safety. Artesis condition monitoring products emerge as a solution, offering a distinctive advantage—no sensor installation on the equipment itself. This not only ensures uncompromised hygiene but also addresses safety concerns seamlessly.
Artesis’s condition monitoring and predictive maintenance solutions offer a comprehensive approach, encompassing failure prediction, fault diagnosis, failure-type classification, and recommendations for relevant maintenance actions. This empowers pharmaceutical equipment manufacturers, engineers, and process plant owners and operators to proactively identify and address potential issues, enhancing the efficiency of their maintenance services and improving equipment uptime.
Artesis empowers water companies with continuous monitoring of aerators, centrifugal pumps, positive displacement pumps, mixers, clarifiers, and submerged equipment, preventing potential failures and optimizing asset performance and energy consumption. In the water industry, system downtime is both disruptive and costly. Artesis’s predictive maintenance and power monitoring solutions enhance operational efficiencies, prevent unplanned downtime, and extend the economic life of critical assets.
Knowing how rotating equipment is performing, predicting failures, improving asset utilization, and finding productivity enhancements in challenging environments are particular challenge for Oil & Gas companies. Artesis helps oil and gas companies predict their rotating equipment failures and prevents the unplanned downtime where the cost of downtime is extremely high. When oil and gas operations break down, it can have a significant domino effect on energy supply – making predictive maintenance technology a key ally for companies in the sector.
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