ASTM D6621-2000(2006)e1 Standard Practice for Performance Testing of Process Analyzers for Aromatic Hydrocarbon Materials《芳香烃材料用加工分析仪的性能检验的标准操作规程》.pdf

《ASTM D6621-2000(2006)e1 Standard Practice for Performance Testing of Process Analyzers for Aromatic Hydrocarbon Materials《芳香烃材料用加工分析仪的性能检验的标准操作规程》.pdf》由会员分享，可在线阅读，更多相关《ASTM D6621-2000(2006)e1 Standard Practice for Performance Testing of Process Analyzers for Aromatic Hydrocarbon Materials《芳香烃材料用加工分析仪的性能检验的标准操作规程》.pdf（6页珍藏版）》请在麦多课文档分享上搜索。

1、Designation: D 6621 00 (Reapproved 2006)e1Standard Practice forPerformance Testing of Process Analyzers for AromaticHydrocarbon Materials1This standard is issued under the fixed designation D 6621; the number immediately following the designation indicates the year oforiginal adoption or, in the cas

2、e of revision, the year of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon (e) indicates an editorial change since the last revision or reapproval.e1NOTEFig. 1 was corrected editorially in November 2006.1. Scope1.1 This practice serves as a practica

3、l guide for the perfor-mance testing of process stream analyzers specifically formeasuring chemical or physical characteristics of liquid aro-matic hydrocarbon materials for production or certification ofthese materials. The practice may be applicable to otherhydrocarbon stream analyzers as well.1.2

4、 Only external methods (complete substitution of theprocess stream with a standard) of control sample introductionare included. Internal methods are beyond the scope of thispractice.1.3 Methods for resetting key operational parameters ofanalyzers to match predefined limits are provided by vendorsand

5、 are not included in this practice.1.4 Analyzer validation procedures are covered in PracticesD 3764 and D 6122, not in this practice.1.5 Procedures for statistically interpreting data from auto-matic sampling process stream analyzers are outlined.1.6 The implementation of this practice requires tha

6、t theanalyzer be installed according to APIRP-550 (1)2, and be inagreement with the analyzer suppliers recommendations.Also, it assumes that the analyzer is designed to monitor thespecific material parameter of interest, and that at the time ofinitial or periodic validation, the analyzer was operati

7、ng at theconditions specified by the manufacturer and consistently withthe primary test method.1.7 The units of measure used in this practice shall be thesame as those applicable to the test primary method used foranalyzer validation.1.8 This standard does not purport to address all of thesafety con

8、cerns, if any, associated with its use. It is theresponsibility of the user of this standard to establish appro-priate safety and health practices, and determine the applica-bility of regulatory limitations prior to use.2. Referenced Documents2.1 ASTM Standards:3D 3764 Practice for Validation of the

9、 Performance of Pro-cess Stream Analyzer SystemsD 4177 Practice for Automatic Sampling of Petroleum andPetroleum ProductsD 6122 Practice for Validation of the Performance of Mul-tivariate Process Infrared SpectrophotometersE 456 Terminology Relating to Quality and StatisticsE 1655 Practices for Infr

10、ared Multivariate QuantitativeAnalysis3. Terminology3.1 Definitions:3.1.1 accuracy, ncloseness of agreement between a testresult and an accepted reference value.3.1.2 analyzer output, nsignal that is proportional to thequality parameter being measured and suitable for input toreadout instrumentation

11、.3.1.2.1 DiscussionIt may be pneumatic, electrical, digital,etc., and expressed as psi, mv, sec., etc.3.1.3 analyzer result, nnumerical estimate of a physical,chemical, or quality parameter produced by applying thecalibration model to the analyzer output signal.3.1.4 bias, nthe difference between th

12、e expectation of theresults and an accepted reference value.3.1.5 control sample, nmaterial similar to the processstream that is stable over long periods of time so that itsparameters may be measured reproducibly in performance teststo characterize analyzer precision and accuracy.3.1.5.1 DiscussionM

13、ay be a pure compound, standardmixture, or a sample from the process stream. Its parametersare used to plot statistical process control charts to defineanalyzer precision in normal operation.3.1.6 external performance testing, nprocedure involvingcomplete substitution of the process/product stream m

14、easured1This practice is under the jurisdiction of ASTM Committee D16 on AromaticHydrocarbons and Related Chemicals and is the direct responsibility of Subcom-mittee D16.09 on On-Line Analysis.Current edition approved Jan. 1, 2006. Published January 2006. Originallyapproved in 2000. Last previous ed

15、ition approved in 2000 as D 6621 00.2The boldface numbers in parentheses refer to the list of references at the end ofthis practice.3For referenced ASTM standards, visit the ASTM website, www.astm.org, orcontact ASTM Customer Service at serviceastm.org. For Annual Book of ASTMStandards volume inform

16、ation, refer to the standards Document Summary page onthe ASTM website.1Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.by the analyzer with a control sample stream to measure theanalyzers precision and possibly accuracy (if the contr

17、olsamples true value is known).3.1.7 internal performance testing, nprocedure involvingthe addition of a known quantity of a standard materialhomogeneously into the process/product stream measured bythe analyzer to measure the analyzers precision and possiblyaccuracy (if the sample materials true va

18、lue is known).3.1.8 linearity, nparameter ranges where the analyzersresults do and do not approximate a straight line.3.1.9 performance testing of an analyzer, nmechanicaland statistical procedure for routinely checking the accuracyand precision of an analyzers results against historical accu-racy a

19、nd precision for a control sample.3.1.10 precision, ncloseness of agreement of independenttest results of the same chemical or physical property of a givenmaterial obtained under stipulated conditions.3.1.10.1 DiscussionExpressed in terms of dispersion oftest results around the arithmetic mean, usua

20、lly as variance,standard deviation, repeatability or reproducibility, or both.3.1.11 repeatability of an analyzer, ndifference betweentwo successive analyzer results measured in a short timeinterval that would be exceeded in the long run in only 1 casein 20 (5 % of the time) when the analyzer is ope

21、rated on aflowing sample of uniform quality.3.1.12 reproducibility of an analyzer, ndifference be-tween a single result from each of two identical analyzersystems that would be exceeded in the long run in only 1 casein 20 (5 % of the time) when the two systems are operated atdifferent sites by diffe

22、rent operators, but on identical samples.3.1.13 rule violation, ncondition when a point value orpattern of points in a statistical process control chart statisti-cally exceeds the defined probability of its occurrence, asdefined by the Western Electric rules (2) being used.3.1.14 spot sample, nrepre

23、sentative material resemblingthe stream being monitored, an identical portion of which isanalyzed both in a process analyzer and by a laboratory test ona non-scheduled basis for periodic validation testing.3.1.14.1 DiscussionMay be the same material as thecontrol sample.3.1.15 validation of an analy

24、zer, nprocess to identify howcomparable an analyzers results are statistically to results fromthe primary method, or to define how the analyzers resultscompare to the primary methods results in precision andaccuracy.3.1.15.1 DiscussionMust be done when the analyzer isfirst configured or reconfigured

25、 (initial validation), and then ona periodic basis (periodic validation), as described in PracticeD 3764.3.2 For additional definitions, see Appendix X1.4. Summary of Practice4.1 This practice standardizes aromatic hydrocarbonprocess-analyzer performance testing practices, or processesfor maintainin

26、g accurate and precise analyzer measurements. Itis used with methods for the measurement and certification ofaromatic hydrocarbon materials applied to continuous on-lineanalyzers. These methods are generally under the control ofCommittee D16 on Aromatic Hydrocarbons and RelatedChemicals. It is meant

27、 as a practical guide for persons settingup and maintaining these analyzers in a process (non-laboratory) environment. They should apply it, with theirFIG. 1 Possible Process Analyzer ConfigurationsD 6621 00 (2006)e12knowledge of the analyzers operation and of how the processanalyzer results are to

28、be used, to maintain and optimizeanalyzer operation.5. Significance and Use5.1 Performance testing of on-line analyzers is critical totheir proper performance within predictable levels of precisionand accuracy. This practice can affect production efficiency andcertification of aromatic hydrocarbon m

29、aterials.6. System Components6.1 Process analyzers for measuring the chemical composi-tion of aromatic hydrocarbons, their purity, or physical prop-erties often replace existing laboratory test methods, using thesame or similar chemical measurement techniques. Fig. 1shows several possible analyzer c

30、onfigurations for on-lineprocess testing of aromatic hydrocarbon materials. Aromatichydrocarbon stream analyzers are often based on chromatog-raphy, but they may also perform physical measurements, wetchemistry, or other methods described in new or existingCommittee D16 methods. This practice is int

31、ended to begenerally applicable to any of them.7. Performance Guidelines Before Calibration7.1 At startup, validate any process analyzer against anexisting analytical method, typically in this case, one overseenby Committee D16.7.2 The capability measurement (cm) for a given analyzer(3) shall be les

32、s than 0.2, as defined in Eq 1:cm5sa2/ sp2 0.2 (1)where:sa= standard deviation of the analyzer measurement, andsp= standard deviation of the process.The variance (standard deviation squared) of the analyzershould be less than 20 % of the variance of the process, so thatthe analyzer measurement can b

33、e useful for detecting changesin the process. The expected capability for a process analyzermeasurement may be available from the vendor for a specificapplication before installation of the analyzer (advertisedanalyzer capability). Actual process stream measurement ca-pability should be measured on

34、the process/product stream,usually after initial analyzer validation.7.3 Automated analyzer sampling practices for aromatichydrocarbon liquid streams shall follow those referenced inPractice D 4177.7.4 Determine the linearity of the process analyzer by usingat least three calibration standard materi

35、als with knowncompositions/responses for the components of interest. Eachcomponent should be present at a high, low, and mediumconcentration/amount level with respect to the concentration/amount range expected for the parameter (analyzer operatingrange). A plot of the component concentration/amount

36、versusanalyzer response will determine if the analyzer has a linearresponse over the concentration range of interest. If analyzerresponse is nonlinear, additional calibration standards must beanalyzed to clearly determine the nonlinear behavior of eachanalyzer and component, if the analyzer is to be

37、 used in thenonlinear range.7.5 If a process analyzer is to be used only for trendinformation, the data generated by it is in a form that does notimpart compositional information, but relative informationonly, that is, peak area, peak height, counts, millivolts, etc.Initial validation and frequent p

38、erformance testing are stillrequired to define precision, as well as to maintain properanalyzer operation.8. Performance Test Procedure8.1 Determine analyzer performance using external checksamples, which are substituted for the process material streamduring performance test runs.8.2 Process analyze

39、rs are routinely performance tested byusing control samples. These may be primary or secondarystandard materials, or actual portions from the process stream.These portions must be representative of normal processconditions, and be stored to remain physically and chemicallystable over time. The contr

40、ol sample should be repeatedlyanalyzed by the process analyzer, and then using statisticalprocess control (SPC), to define the actual analyzer resultsprecision.8.3 Analyzer performance test frequency can be done at afixed time interval, based on analyzer reliability and operatorexperience. Typically

41、, once per shift, day, or week are used, butit may be more or less frequent. Unscheduled control sampleanalyses may be performed whenever the unit operator feelsthat something has changed in the process or process analyzer,or at a convenient time.8.4 The control sample material container shall be lo

42、cated ata point in the process to allow for its simple and regularintroduction into the process analyzers sample introductionsystem (if appropriate) by the process operator. A sufficientquantity must be available for many repetitive analyses.8.5 Perform an external analyzer performance test byswitch

43、ing the analyzer sample source from the process streamto the control sample, followed by sampling and analysis of thecontrol sample.8.6 Monitor the analyzers output from the control sampleuntil it stabilizes, that is, the difference between successivereadings is at or below the repeatability of the

44、analyzer, (whichis measured as described in 8.10). If this does not occur, therepeatability of the analyzer has changed and should beremeasured.8.7 After stabilization of the analyzer, measure at least threesuccessive results on the control sample and average theresults. Plot the average of these th

45、ree results in a SPC chartusing any statistically correct method of data handling andcontrol chart construction (4).8.8 SPC charts of the control sample data shall be used tohelp decide if the analyzer needs to have its response param-eters reset, (5) or if it is working within previous statisticall

46、evels and should be left alone. SPC results and operatorexperience should be used to determine subsequent actions,such as determining the cause for any rule violation andcorrecting it.8.9 SPC charts of control samples help the operator todifferentiate between normal (random) and abnormal (nonran-dom

47、) analyzer variation due to changes in analyzer operation.D 6621 00 (2006)e138.9.1 Charts may be maintained manually or with commer-cially available SPC software, preferably as part of the ana-lyzer data acquisition and control software.8.9.2 Control limits should be set at three (3) sigma (stan-dar

48、d deviations) from the mean value, warning limits at two (2)sigma, and suitable Western Electric rules (2) invoked, consis-tent with plant/facility statistical policy.8.9.3 All rule violations shall be investigated and eliminatedif possible, with all causes and actions documented with thecharts.8.9.

49、4 If a cause cannot be determined, analyzer operationshould continue without any parameter adjustment until thenext performance test.8.9.5 If there are no rule violations, analyzer parameteradjustment is not needed.8.9.6 If a rule violations cause is determined and elimi-nated, and if the operator feels that the analyzers accuracy haschanged as a result, proceed to reset analyzer parameters, asdiscussed in Section 9. If precision needs to be redefined forthe analysis process, follow the procedure listed in 8.10.8.10 To determine the repeatabilit