6533b85cfe1ef96bd12bc671

RESEARCH PRODUCT

Vibrasjonsanalyse : Feildeteksjon i Kulelager: Prosessering av Vibrasjonssignaler, Algoritmer, og Envelope Spektrum

Olav Rogne

subject

KulelagerENE500VDP::Teknologi: 500::Maskinfag: 570KraftstasjonVibrasjonsanalyse

description

Masteroppgave fornybar energi ENE500 - Universitetet i Agder 2017 The report deals with fault detection and diagnosis of roller element bearings. Vibration and shaft position sensor data combined with three algorithms are tested to determine which combination may detect bearing faults early and reliably. Experimental data from an accelerated life-time test is used to verify the performance. Results show that the vibration signal combined with a fast spectral correlation algorithm yields the most reliable diagnosis.

http://hdl.handle.net/11250/2454397