Technology Overview

Sounds in industries can indicate and even forewarn various critical events, from changes in the processes to developing machine issues.

Combining AI, acoustic sensors, and digital signal processing this system aims to detect and predict issues in industries. With this approach it is able to non-invasively convert assets into smart assets with minimal risk and friction. With applications ranging from fault detection and predictive maintenance to more niche needs such as cavitation or fouling detection, the AI can be customized to adapt to the particular facilities’ needs.

Technology Features, Specifications and Advantages

This system uses an adaptive AI to diagnose and predict faults on industrial assets. Compared to usual AI based maintenance system, this system tells what exactly the fault is, from bearing faults to misalignments. The system also uses acoustic sensors which gather data from machines through the sound they produce, making the system completely non-invasive, unlike other solutions that require modifications for them to work. This system is also designed to be customized to listen to additional specific events that unique to the facility providing more utility in addition to just condition monitoring.

• Non-Invasive Installation & Usage
• WiFi-connected Acoustic IoT Sensors
• IoT Gateway and processor – allowing for both edge or cloud processing
• Dashboard and/or API – for integration with existing systems
• Adaptive A.I.

Potential Applications

This is primarily for industrial facilities seeking to improve efficiency of their production and for monitoring events traditional sensors couldn’t cover. This can also be useful for maintenance service providers and increase their capabilities in diagnosing and maintaining their client’s assets. Because of its customizability, it can also be used by appliance manufacturers and OEMs to help their end users diagnose their devices for servicing.

Customer Benefit

This system can help facilities reduce power consumption and maintenance costs. This can simplify remote maintenance by pre-identifying issues via sound accurately to provide timely and accurate fixes to assets or process. This not only means prevented unplanned delays and downtime in production, optimal power usage of motors and increased the lifespan but also reduction in possible health and safety concerns.

This system can also help service providers, appliance manufacturers, and OEMs open up new revenue models by incorporating this into their system.