By combining vibration measurements and telecommunication techniques, we detect changes in gears and roller bearings earlier than traditional vibration analysis methods.
VibSim calculates the remaining useful life and gives the client alarms automatically when severity increases.
Traditional methods discover symptoms that rise above normal background noise. VibSim uses pattern recognition to identify machinery damage hidden in sensor data, enabling early warning at a fault stage not detectable with traditional vibration methods.
WANT TO KNOW MORE?
VibSim calculates the remaining useful life using our patented pattern recognition algorithm in combination with machine learning.
Traditional vibration analysis often requires manual effort to produce condition reports and recommendations. VibSim’s system is automated to handle the entire process, from sensor data acquisition to analysis and report generation. We aim to provide customers with tools that make condition-based maintenance easier, creating value by reducing maintenance costs.
VibSim’s methods perform well on measurements collected with acoustic microphones. In situations where mounting accelerometers may be unfeasible, e.g., aviation and railway applications, VibSim uses acoustic measurements for condition monitoring.
