超声波流量计诊断数据集

Kojo Sarfo Gyamfi Coventry University, UK gyamfik '@' uni.coventry.ac.uk Craig Marshall National Engineering Laboratory, TUV-NEL, UK Craig.Marsall '@' tuv-sud.co.uk Data Set Information: Meter A contains 87 instances of diagnostic parameters for an 8-path liquid ultrasonic flow meter (USM). It has 37 attributes and 2 classes or health states: Class '1' - Healthy Class '2' - Installation effects Meter B contains 92 instances of diagnostic parameters for a 4-path liquid USM. It has 52 attributes and 3 classes: Class '1' - Healthy Class '2' - Gas injection Class '3' - Waxing Meter C contains 181 instances of diagnostic parameters for a 4-path liquid USM. It has 44 attributes and 4 classes: Class '1' - Healthy Class '2' - Gas injection Class '3' - Installation effects Class '4' - Waxing Meter D contains 180 instances of diagnostic parameters for a 4-path liquid USM. It has 44 attributes and 4 classes: Class '1' - Healthy Class '2' - Gas injection Class '3' - Installation effects Class '4' - Waxing Attribute Information: All attributes are continuous, with the exception of the class attribute. Meter A (1) -- Flatness ratio (2) -- Symmetry (3) -- Crossflow (4)-(11) -- Flow velocity in each of the eight paths (12)-(19) -- Speed of sound in each of the eight paths (20) -- Average speed of sound in all eight paths (21)-(36) -- Gain at both ends of each of the eight paths (37) -- Class attribute or health state of meter: 1,2 Meter B (1) -- Profile factor (2) -- Symmetry (3) -- Crossflow (4) -- Swirl angle (5)-(8) -- Flow velocity in each of the four paths (9) -- Average flow velocity in all four paths (10)-(13) -- Speed of sound in each of the four paths (14) -- Average speed of sound in all four paths (15)-(22) -- Signal strength at both ends of each of the four paths (23)-(26) -- Turbulence in each of the four paths (27) -- Meter performance (28)-(35) -- Signal quality at both ends of each of the four paths (36)-(43) -- Gain at both ends of each of the four paths (44)-51 -- Transit time at both ends of each of the four paths (52) -- Class attribute or health state of meter: 1,2,3 Meters C and D (1) -- Profile factor (2) -- Symmetry (3) -- Crossflow (4)-(7) -- Flow velocity in each of the four paths (8)-(11) -- Speed of sound in each of the four paths (12)-(19) -- Signal strength at both ends of each of the four paths (20)-(27) -- Signal quality at both ends of each of the four paths (28)-(35) -- Gain at both ends of each of the four paths (36)-(43) -- Transit time at both ends of each of the four paths (44) -- Class attribute or health state of meter: 1,2,3,4 Relevant Papers: K. S. Gyamfi, J. Brusey, A. Hunt, E. Gaura , a€?Linear dimensionality reduction for classification via a sequential Bayes error minimisation with an application to flow meter diagnostics,a€? Expert Systems with Applications (IF: 3.928), September 2017 Citation Request: K. S. Gyamfi, J. Brusey, A. Hunt, E. Gaura , a€?Linear dimensionality reduction for classification via a sequential Bayes error minimisation with an application to flow meter diagnostics,a€? Expert Systems with Applications (IF: 3.928), September 2017