Condition-Based Monitoring for Improved Machine Health
Condition-based monitoring of critical assets helps to effectively manage machine health and avoid unexpected incidents.
For remote equipment and machinery, it can be difficult to prepare for and identify causes of productivity losses and downtime. Numerous manufacturers are utilizing digital transformation technologies, such as condition-based monitoring, with the goal of preventing unforeseen machine failure.
Many industries are shifting from time-based maintenance to condition-based maintenance strategies. Unnecessary maintenance can compromise productivity and waste resources, while condition monitoring helps to predict machine health via sensor data and other metrics. This ensures a satisfactory median between a proactive approach and maximizing productivity, in contrast to outdated methods such as breakdown maintenance.
In our newest InnoTalks video, Matt Dentino for Advantech talks in detail with Danny Hsu, President of Monitoring SBU for Prowave, and Sen Wu, Product Manager of Smart I/O & Communication for Advantech, about condition monitoring trends, customer pain points for machine health, wireless technologies empowering real-time monitoring, such as LoRaWAN, real-life use cases, and more. Danny Hsu of Prowave offers his expertise for improving machine health via remote monitoring, and outlines Prowave’s ICP vibration solution that measures machine vibration and sends data back to users.