Thanks to its ability to continuously and in real-time monitor each mechanical component, Teal Neural can detect any irregularities in the machine’s performance. This monitoring is done by analysing various performance parameters such as energy consumption, vibration, temperature, and many others. By detecting any deviations from the normal patterns of these parameters, Teal Neural can alert to a possible malfunction of the component.
For example, if a particular component is consuming more energy than it normally should, it could be a sign of a problem, such as excessive wear, lack of lubrication, or even an impending mechanical failure. By receiving an early alert from Teal Neural, operators can perform the necessary repairs or adjustments before the problem worsens and affects the overall machine’s performance.
Monitoring component performance also enables more proactive maintenance of machinery. By knowing the lifespan of each component and how its performance fluctuates over time, you can anticipate when it will be necessary to replace or repair a component before it fails completely. Furthermore, by ensuring that each component operates at its maximum performance, you can maximise the efficiency of the entire machinery, resulting in higher productivity and lower operating costs.