首页|Investigators from Pontifical Catholic University Target Machine Learning (Predi ction of Air Compressor Faults With Feature Fusion and Machine Learning)
Investigators from Pontifical Catholic University Target Machine Learning (Predi ction of Air Compressor Faults With Feature Fusion and Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromMacul, Chile, by NewsRx correspon dents, research stated, “Air compressors are critical for many industries,but e arly detection of faults is crucial for keeping them running smoothly and minimi zing maintenancecosts. This contribution investigates the use of predictive mac hine learning models and feature fusion todiagnose faults in single-acting, sin gle-stage reciprocating air compressors.”
MaculChileSouth AmericaCyborgsEm erging TechnologiesK-nearest NeighborMachine LearningPontifical Catholic U niversity
NETL
NSTL
