Transforming Maintenance with AssetWatch Electrical Monitoring
AssetWatch, Inc. has made headlines with the introduction of its groundbreaking tool, AssetWatch Electrical Monitoring. Launched on October 13, 2026, this innovative solution is poised to change how industrial maintenance teams manage AC motors. Traditionally, maintenance has relied heavily on vibration sensors to identify mechanical faults, but many electrical and load-related issues can develop quietly, often with no early warning signs. This lack of visibility can lead to significant unplanned downtimes and unexpected costs for businesses.
Addressing a Critical Gap in Monitoring
Understanding the limitations of mechanical fault detection, AssetWatch turned its focus towards electrical insights. The newly launched AssetWatch Electrical Monitoring continuously assesses key parameters such as three-phase current, motor runtime, and panel temperature. This real-time tracking complements existing monitoring practices, offering a more holistic view of motor health.
Through continuous monitoring of RMS current across all three phases, the system quickly identifies potential problems such as overload conditions, slipping belts, failing couplings, and current imbalances that can drastically shorten motor lifespan. Unlike traditional methods that offer intermittent checks during technician visits, this new approach ensures that issues are caught as they emerge, substantially reducing the risks associated with unexpected equipment failures.
The Power of Data Integration
Jaidev Krishnan, VP of Condition Monitoring Engineering at AssetWatch, emphasizes the transformative potential of combining electrical and vibration data. “When teams can view electrical and vibration data side by side, the conversation shifts. Instead of merely questioning if something is wrong, they can determine whether the issue is electrical, mechanical, or process-related, allowing for precise interventions,” he explains.
Moreover, alongside electrical monitoring, the AssetWatch platform integrates additional technologies such as continuous vibration monitoring, temperature monitoring, and oil analysis. This all-in-one approach aims to provide maintenance teams with a wide early warning window. Each technology—vibration, current, temperature, and oil quality—sends data back to the central platform, where advanced AI algorithms and trained Condition Monitoring Engineers (CMEs) work collaboratively to derive actionable insights.
The wireless sensors used in AssetWatch Electrical Monitoring allow for quick installation within electrical panels rather than on the motors themselves. This means monitoring hard-to-access equipment becomes significantly simpler, as it eliminates the challenges vibration sensors often face in placement.
Fast Implementation with Expert Support
Patrick Carmitchel, VP of Product Management, reiterates AssetWatch’s commitment to user-friendliness, stating, “We developed this tool to be fast to deploy, straightforward to understand, and backed by expert CMEs who assist our clients in acting on their findings. Implementing electrical monitoring shouldn't be a lengthy ordeal requiring specialized knowledge.”
In addition to its robust functionality, AssetWatch Electrical Monitoring is already available for adoption. Interested companies can learn more and request a demo by visiting
AssetWatch's official site or join an upcoming exclusive webinar on November 17 titled “First Look: AssetWatch Electrical Monitoring,” which will provide an in-depth overview and a live demo of this state-of-the-art product.
About AssetWatch
AssetWatch is recognized as a frontrunner in predictive maintenance solutions, delivering a comprehensive remote condition monitoring service trusted by manufacturers. Its technology aims to maintain equipment efficiency, eliminate unplanned downtimes, reduce maintenance expenses, and enhance operational reliability.
With the release of AssetWatch Electrical Monitoring, businesses now have the tools necessary to elevate their maintenance strategies, ensuring sustainability and efficiency in their operations.