Shaker tables in mining applications are designed to vibrate at high frequencies. The high frequency helps filter materials, but it also masks underlying issues that traditional machine health monitoring cannot detect. One mining company was looking for a way to filter out vibrational noise to predict sudden shaker table failures.

KCF Technologies developed a unique software feature that filters out unnecessary noise in the data to reveal underlying shaker table problems. With KCF’s Industry 4.0 machine health monitoring services, one mining company discovered an unexpected root cause of potential shaker table failures. After identifying and replacing the faulty asset part, the vibration levels of the shaker table were restored to normal and catastrophic failure was avoided.