Predictive Maintenance for Industrial Generators
Applications and Cases
Key Takeaways
Predictive Maintenance for Industrial Generators InHand Networks provides a predictive maintenance solution for industrial generators, combining real-time monitoring, intelligent data analysis, and remote management to enhance reliability, reduce costs, and boost operational efficiency.
Background
The U.S. economy depends heavily on generator manufacturers serving nearly every industry. Power outages can lead to inventory loss, equipment failure, disrupted just-in-time deliveries, and financial losses in the millions. To address these risks, a leading generator manufacturer aims to reduce unplanned downtime, lower maintenance costs, enhance operational efficiency, and improve customer satisfaction and equipment safety by adopting a predictive maintenance solution.
Customer Requirements
Solution
InHand Networks deployed a predictive maintenance solution leveraging the EC312 edge computer and IoT technologies. This ARM-based Linux industrial computer connects to industrial generator controllers, using an Azure IoT Edge application to monitor real-time parameters such as temperature, vibration, pressure, and current. The EC312 processes and analyzes data locally, minimizing latency and providing real-time alerts for anomalies to the maintenance team. Data is securely transmitted to the cloud, enabling safe and reliable remote connectivity.
By implementing this predictive maintenance solution, the customer enhanced the reliability, performance, and remote monitoring of their industrial generators while achieving significant cost savings and improved customer satisfaction.
Benefits
Connectivity
Various Generator Mod
Performance
Management
Futured Products
EC312
Secure industrial edge computer for lightweight apps, IEC62443 certified, Debian/Yocto, Docker-ready.
Security
IEC62443, Secure Boot, TPM2.0
Connectivity
Ethernet/cellular/Wi-Fi, dual SIM
Expansion
CAN, DIO, analog input, serial
Cloud Ops
DeviceLive remote monitoring, app mgmt
