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LDPE

Description:	Data from a low-density polyethylene production process. There are 14 process variables and 5 quality variables (last 5 columns).
Data source:	Simulated data. Two tubular reactors are connected in series. More details about the dataset can be found in this journal publication. The first 50 observations are from common-cause (normal) operation, while the last 4 show a process fault developing: the impurity level in the ethylene feed in both zones is increasing. `Tin`: inlet temperature to zone 1 of the reactor [K] `Tmax1`: maximum temperature along zone 1 [K] `Tout1`: outlet temperature from zone 1 [K] `Tmax2`: maximum temperature along zone 2 [K] `Tout2`: outlet temperature from zone 2 [K] `Tcin1`: temperature of inlet coolant to zone [K] `Tcin2`: temperature of inlet coolant to zone 2 [K] `z1`: percentage along zone 1 where `Tmax1` occurs [%] `z2`: percentage along zone 2 where `Tmax2` occurs [%] `Fi1`: flow rate of initiators to zone 1 [g/s] `Fi2`: flow rate of initiators to zone 2 [g/s] `Fs1`: flow rate of solvent to zone 1 [% of ethylene] `Fs2`: flow rate of solvent to zone 2 [% of ethylene] `Press`: pressure in the reactor [atm] `Conv`: quality variable: cumulative conversion `Mn`: quality variable: number average molecular weight `Mw`: quality variable: weight average molecular weight `LCB`: quality variable: long chain branching per 1000 C atoms `SCB`: quality variable: short chain branching per 1000 C atoms
Data shape:	54 rows and 19 columns
Usage restrictions:	None
Contact person:	Kevin Dunn
Contact details:	kgdunn@gmail.com
Added here on:	12 January 2011 13:27
Last updated:	11 November 2018 16:33

Preview (first 10 rows)

	Tin	Tmax1	Tout1	Tmax2	Tout2	Tcin1	Tcin2	z1	z2	Fi1	Fi2	Fs1	Fs2	Press	Conv	Mn	Mw	LCB	SCB
1	208.17	296.35	233.81	283.41	239.05	117.14	117.2	0.029	0.581	0.4507	0.4518	666.42	248.95	3021	0.1322	27379	160326	0.781	26.11
2	207.26	298.26	230.88	287.55	242.55	116.39	117.23	0.028	0.574	0.4765	0.5091	658.61	246.36	3033	0.1365	27043	165044	0.819	26.29
3	205.3	296.57	235.38	284.35	245.19	117.33	118.42	0.031	0.578	0.4744	0.4505	666.51	244.65	3004	0.1335	27344	165621	0.801	26.13
4	209.29	294.11	225.61	283.31	242.04	116.15	117.94	0.03	0.581	0.4429	0.4516	667.31	242.28	2980	0.13	27502	160497	0.778	25.92
5	206.76	295.13	230.26	283.74	244.92	116.75	118.49	0.03	0.579	0.4394	0.4414	670.83	244.31	2997	0.1316	27518	165713	0.786	26.02
6	205.81	295.6	236.06	286.68	245.03	117.59	117.95	0.03	0.573	0.4455	0.4994	659.27	244.89	2994	0.1342	27264	169889	0.815	26.17
7	207.2	299.25	240.06	285.38	244.89	117.69	118.09	0.028	0.578	0.4964	0.4796	655.58	246.73	3021	0.1347	27046	162606	0.809	26.32
8	209.69	300.19	237.43	281.46	240.78	117.19	117.89	0.026	0.588	0.5053	0.4375	671.34	246.3	3007	0.1317	27077	157505	0.785	26.23
9	204.95	295.1	237.88	281.66	239.83	117.92	117.64	0.032	0.586	0.4685	0.4562	667.7	247.18	2983	0.1318	27447	163002	0.789	25.98
10	208.84	293.63	226.69	286.79	245.77	116.41	118.11	0.03	0.575	0.4089	0.4976	667.09	244.57	3000	0.1319	27363	164396	0.792	26.04

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Tags for this dataset

multivariate outliers monitoring

(c) Kevin Dunn, learnche.org