Using acoustic emissions to monitor crop throughput of a large square baler

摘要: This paper demonstrates that acoustic signals emitted by a large square baler during field operation may be analysed to discriminate between high and low levels of machine loading (crop mass-flow rate at constant bale density). Thus there potential for utilising in an automatic closed-loop control system designed optimise performance. Acoustic data other independent measures crop throughput were collected from operating three different fields forming total 57 bales. After signal processing, throughput-related parameters extracted the subsequently used cycles within particular field, with accuracy up 95%. The physical origin each sound discrimination was determined. Although mean values same level (operating condition)-specific, trends seen all operational conditions.