作者：
T. ReißInstitute of Automatic Control
Laboratory of Control Systems and Process Automation Technical University Darmstadt Landgraf-Georg-Str. 4 D-6100 Darmstadt Germany
The supervision of manufacturing processes is of primary interest in the course of progressive automation. This paper paper presents a new approach in fault diagnosis and supervision of the drilling process. The super...
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The supervision of manufacturing processes is of primary interest in the course of progressive automation. This paper paper presents a new approach in fault diagnosis and supervision of the drilling process. The supervision of manufacturing processes with additional sensors is mostly expensive or not possible at all. Therefore mathematical process models were developed for the drilling process. By means of least squares estimation techniques the physical parameters are determined based on easily measurable signals of the drives. Changes of those process parameters during operation are used for fault diagnosis. Experimental results on two flexible machining centers show the detected parameter changes during operation in dependence on tool wear.
作者：
P. WankeInstitut of Automatic Control
Laboratory of Control Systems and Process Automation Technical University Darmstadt Landgraf-Georg-Str. 4 D-6100 Darmstadt Germany
The early detection and localization of faults in machines and drives is of primary interest to make further improvement of the reliability and saftey. This paper presents a new approach in fault diagnosis and supervi...
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The early detection and localization of faults in machines and drives is of primary interest to make further improvement of the reliability and saftey. This paper presents a new approach in fault diagnosis and supervision of main drives with elastic components. The supervision of drives with additional sensors for temperature, pressures or vibrations is usually expensive. Currently, internal process faults are only detected partially and at a rather late stage, by generating alarms if certain limits of the measured signals are exceeded or limit switches stop the machine tool. A process model based approach for fault diagnosis was developed. A dynamic model of the main drive was derived and together with easily measurable signals of the drive, like current and speed, physical parameters can be estimated. Changes of those process parameters are the symptoms for a diagnostic inference mechanism. Experimental results with least squares parameter estimation in the form of disrete square root filters are shown.
作者：
D. NeumannTechnical University of Darmstadt
Institute of Automatic Control Laboratory of Control Systems and Process Automation Landgraf-Georg-Str. 4 D-6100 Darmstadt Germany
In this paper a method for the signal model based estimation of frequency spectra from sampled signals is presented. The algorithm uses discrete, parametric signal models in z-space, whose parameters are determined by...
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In this paper a method for the signal model based estimation of frequency spectra from sampled signals is presented. The algorithm uses discrete, parametric signal models in z-space, whose parameters are determined by a two step identification algorithm. From these parameters significant oscillations, described by their frequency and concatenated amplitude, are calculated to develop a method for the supervision and fault diagnosis of dynamic systems. The shown results and conclusions are taken from practical tests at machine-tools.
作者：
BULL, DNDaniel N. Bull
Ph.D. is a consultant in fermentation technology and president of Satori Corporation P.O. Box 1730 Montclair N.J. 07042. (201) 783-9787.REFERENCES Graff G.M. Short H. and Keene J.1983. Gene-splicing methods move from lab to plant. Chem. Eng.90: 22-27.|ISI|Broda P.1979. p. 1-3. Plasmids. W. H. Freeman Oxford and San Francisco.Donoghue D.J. and Sharp P.A.1978. Construction of a hybrid bacteriophage-plasmid recombinant DNA vector. J. Bact.136: 1192-1196.|PubMed|ISI|ChemPort|Bok S.H. Hoppe D. Mueller D.C. and Lee S.E.1983. Improving the production of recombinant DNA proteins through fermentation development. Abstract from 186th ACS Natl. Mtg. Washington D.C. Sept. 1.Maniatis T. Fritsch E.F. and Sam-brook J.1982. p. 88. Molecular Cloning. Cold Spring Harbor Laboratory. Guidelines for research involving recombinant DNA molecules June 1983
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