Wyniki wyszukiwania - BazTech

1

Wektor logistyczny w diagnozowaniu turbin parowych

Gałka T., Orłowski Z.

Diagnostyka

|

2001

|

Vol. 25

49-56

PL

W pracy omówiono problem wpływu wektora logistycznego na procedury stosowane w diagnostyce drganiowej turbozespołów energetycznych, w szczególności na szacowanie kryterialnych poziomów symptomów diagnostycznych. Wpływ ten uwzględniono przy zastosowaniu miary skalarnej wektora. Opisano modyfikację procedur obliczania wartości granicznych. Na przykładzie kilku turbozespołów eksploatowanych w kraju oceniono ilościowy wpływ na charakterystyki drganiowe. Zaproponowano procedurę normalizacji, uwzględniającą wektor logistyczny, i podano przykład jej zastosowania.

EN

The paper deals with the influence of logistic vector on procedures used in utility steam turbines vibrational diagnostics, in particular on estimated criterial values of diagnostic symptoms. This influence has been accounted for in terms of a scalar measure of the logistic vector. Necessary modification of limit value determination procedures has been described. Quantitative influence on vibration characteristics is described for several units operated by national power industry. Normalization procedure, accounting for the logistic vector, has been proposed and an example of its application is given.

2

Reduction of Redundancy of Symptom Observation Space in Systems Condition Monitoring

Cempel C.

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2001

|

vol. 49, nr 2

267-284

EN

It was shown in this paper that classical approach to the assessment of systems condition evolution can be much improved by special processing of observed symptoms of condition. When we have a large symptom data base, we can apply singular value decomposition (SVD) as the newest data mining procedure, to obtain a symptom and condition evolution model. By using SVD it is possible to have two additional independent fault discriminants: named here SD and SG, with high dynamics of evolution during system life. Moreover, we can add an additional column of system life count, as the first approximation of a logistic vector describing the unit life history. It is also possible to use the value of a pseudo - determinant of a symptom observation matrix, and correlation between this new discriminant and the symptom observation matrix to minimize the redundancy of symptom measuring space, and choose the best symptom for condition observation.

3

Modelling and data mining in vibration condition monitoring

Cempel C.

Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej. Konferencje

|

1999

|

Vol. 86, nr 24

33-46

EN

It was shown in this paper that classical approach to systems condition evolution assessment can be much improved by special processing of observed symptoms of condition. When we have a large symptom data base, we can apply singular value decomposition (SVD), as the newest data mining procedure to obtain a symptom and condition evolution model. By using SVD it is possible to have two additional independent fault discriminants: named CD and SG, with high dynamics of evolution. Moreover we can an additional column of system life count, as the first approximation of a logistic vector describing the unit life history. It is also possible to use the value of a pseudo - determinant of a symptom observation matrix, and correlation between this new discriminant and the symptom observation matrix to minimize the redundancy measuring space, and chose the best symptom for condition observation.