CAJ | 학술논문

目前多元统计方法被广泛用于间歇过程故障监测并已经取得了比较好的效果。但是，统计模型的可解释性能比较差，很难直接利用操作人员积累的安全经验。为应对这些不足，提出了一种基于图模型的间歇过程故障监测方法。利用提出的定性建模方法，过程机理及操作人员的安全经验能够方便地表达。利用在线的过程变量数据和正向推理算法推断生产应处于的状态，利用安全知识及时地发现生产异常。当推断的结论与在线测得的结果矛盾或过程变量超过设定的安全限时，给出解释性输出。通过一个间歇反应案例，验证了提出的方法在模型的可解释性和利用安全经验方面的优势。
목전다원통계방법피엄범용우간헐과정고장감측병이경취득료비교호적효과。단시，통계모형적가해석성능비교차，흔난직접이용조작인원적루적안전경험。위응대저사불족，제출료일충기우도모형적간헐과정고장감측방법。이용제출적정성건모방법，과정궤리급조작인원적안전경험능구방편지표체。이용재선적과정변량수거화정향추리산법추단생산응처우적상태，이용안전지식급시지발현생산이상。당추단적결론여재선측득적결과모순혹과정변량초과설정적안전한시，급출해석성수출。통과일개간헐반응안례，험증료제출적방법재모형적가해석성화이용안전경험방면적우세。
So far, the multivariate statistical methods have been widely used to perform fault detection for batch process, and they have shown some good performances .However, the interpretability of statistical model is not good, and it is difficult to directly use the safety experience of operators .In order to cope with these shortcomings , a fault detection method based on digraph model was proposed .By using the proposed qualitative modeling method , the process mechanism and safety experience of operators can be expressed easily .On-line data of process variables and forward reasoning algorithm were used to deduce the state of production process .The safety knowledge was used to find abnormal production state in time .When deduced conclusion was not consistent with measured process variable value or process variable value exceeds threshold , an explanation for this situation would be provided .By means of a batch reaction case , the advantages of proposed method on model interpretability and using safety expe-rience were verified .