Further elevating i-ALERT’s customer support with immediate notification in the event of machine faults, the new offering includes information about the severity of the fault and recommendations to resolve it with the accuracy of a skilled analyst.
Now customers can securely and instantly understand machine condition and see recommended actions from anywhere in the world on their mobile device or computer, ultimately reducing the downtime and extending the life of their machines.
“As the adoption of wireless condition monitoring grows, our customers need to be able to process vast amounts of data, quickly and efficiently,” said Dan Kernan, Global Product Director, Aftermarket Solutions. “Our new automated diagnostic software helps customers to easily upgrade their i-ALERT sensors to provide key insights into their machine’s health. Customers can have peace of mind about the condition of their machines and can protect them no matter where they are.”
The new i-ALERT diagnostics work by analyzing vibration signatures produced by the machine as it operates. Fault detection occurs through proprietary algorithms developed by our AI-based asset health partner, Symphony AzimaAI, that utilize decades of industry and equipment knowledge. This knowledge and technology help to decrease our customers’ maintenance costs, downtime, and energy usage.
“Symphony AzimaAI is proud to support the i-ALERT solution in utilizing sophisticated rules-based methodology to go beyond simple monitoring of alarms,” said Dominic Gallello, AzimaAI CEO. “Delivering actionable diagnostics and recommendations – not just data – to drive effective maintenance and reliability programs.”
The automated diagnostics offering rounds out i-ALERT’s condition-based monitoring solution, which includes the i-ALERT2 sensor, i-ALERT mobile app, i-ALERT gateway, and i-ALERT Ai Platform.
