Condition-based monitoring (CbM) is defined as a predictive maintenance strategy that continuously monitors the condition of assets using different types of sensors and uses the data extracted from sensors to monitor assets in real time. The collected data can help manufacturers increase throughput and asset utilization by reducing maintenance costs and asset downtime. CbM can be used to establish trends, predict failure, calculate the lifetime of an asset, and increase safety in manufacturing plants.
Analog Devices’ deep domain knowledge across sensing, signal processing, communications, power management, and system design considerations, combined with our AI sensing and interpreting platform at the edge, enables our customers to deploy new condition monitoring solutions faster and extract more value, with access to higher quality data and insights. ADI’s complete, system-level solutions provide the technology and insights to create, new, high value, predictive maintenance service offerings for deployed equipment.
Real-time, continuous, condition-based monitoring and predictive maintenance solutions are increasing in importance as manufacturers look to increase throughput and asset utilization by reducing maintenance costs and asset downtime. Given that unscheduled downtime can amount to nearly a quarter of total manufacturing costs, predictive maintenance solutions have the potential to unlock significant cost savings and drive productivity improvements.
Real-time monitoring of assets extends their lifetime by ensuring they operate within the manufacturer’s specification.
Real-time monitoring of an asset’s health reduces maintenance costs by scheduling servicing based on the current health of the assets and not just based on a time interval.
Condition monitoring increase manufacturing throughput by reducing maintenance downtime and unplanned asset downtime.
By monitoring the asset health in real-time unplanned asset downtime can be eliminated.
Tel