Online real-Time monitoring system through using adaptive angular-velocity VKF order tracking

Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies were integer or fractional integer multiples of the reference shaft speed. When the rotary machines are running, acousto-mechanical signals acquired from the machines enable to reveal their operation status and machine conditions. The study proposed a DSP-based adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF OT) algorithm with online real-Time nature for signal interpretation and the monitoring of machine conditions. Theoretical derivation and numerical implementation of computation scheme was briefly introduced. An online real-Time condition monitoring system based on the AV2KF OT algorithm, which was implemented through both a digital signal processor (DSP) and a user interface coded by using LabVIEW, was developed. Two experimental tasks were used to justify the proposed technique, including (i) the detection of startup on the fluid-induced whirl performed through a journal-bearing rotor rig, and (ii) the decoupling of crossing orders from the measured signals of a multi-Axle ball-bearing bench.