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Delay-Time Analysis

Christer, A.H. (2002). A Review of Delay Time Analysis for Modelling Plant Maintenance, in Stochastic Models in Reliability and Maintenance, Osaki S. (ed ). Springer. [Pg.1271]

Christer, A.H. (1999). Developments in delay time analysis for modelling plant maintenance. Journal of... [Pg.1271]

Christer, A.H., Waller, W.M. (1984a). Reducing production downtime using delay-time analysis. Journal of the Operational Research Society 35(6) 499-512. [Pg.1271]

Cunningham, A., Wang, W, Zio, E., Allanson, D., Wal, lA., Wang, J. (2011). Application of Delay-time Analysis via Monte Carlo Simulation. Journal of Marine Engineering and Technology 10(3) 57-72. [Pg.1271]

Jones, B., Jenkinson, I., Wang, J. (2009). Methodology of using delay-time analysis for a manufacturing industry. Reliability Engineering and System Safety 94 111-124. [Pg.1272]

I-eung, F, Kit-leung, M. (1996). Using delay-time analysis to study the maintenance problem of gearboxes. International Journal of Operations Production Management 16(12) 98-105. [Pg.1272]

Pillay, A., Wang, J, Wall, A.D., Ruxton, T. (2001). A maintenance study of fishing vessel equipment using delay-time analysis. Journal of Quality in Maintenance Engineering 7(2) 118-127. [Pg.1272]

The technical objects performance is strictly connected with aging process. The wear processes are the most common cause of damage (about 70-80% of all the occurred failures) in mechanical devices (Boda 1999, Ickiewicz and Ickiewicz 1998, Laskowski and Bylak 2013). One of the possible solutions aimed at improving operational processes is inspection policies applying. Moreover, authors focus on investigation of technique called delay time analysis, which has been developed for modeling the consequences of an inspection policy implementation for any systems (Christer 2002). [Pg.1275]

Redmond, D.F. 1997. Delay Time Analysis in Maintenance. PhD thesis, University of Salford, Salford. [Pg.1280]

Keywords Cost, delay time analysis, inspection, maintenance. [Pg.179]

The final decision of the optimal inspection period will depend heavily on the needs and operating culture of the owner/operator of the vessel. The implementation of such a regime on fishing vessels will be influenced by the operating circumstances of the equipment and other factors such as availability of expertise, position of vessel and sea conditions. However, should the conditions for implementation be favourable, delay-time analysis can be used to optimise the system s inspection maintenance scheme. [Pg.199]

Leung F. and Kit-Leung M., (1996) Using Delay-Time Analysis to Study the Maintenance Problem of Gearboxes , International Journal of Operations and Production Management, Vol. 16, No. 12, pp. 98-105. [Pg.200]

Pillay A., Wang J., and Wall A., (2001a) Optimal Inspection Period for Fishing Vessel Equipment a Cost and Down Time Model Using Delay Time Analysis , Marine Technology, SNAME, Vol. 38, No. 2, pp. 122-129. [Pg.201]

Pillay A., Wang J., Wall, A. and Ruxton T., (2001b) An Maintenance Study of Fishing Vessel Equipment Using Delay Time Analysis , Journal of Quality in Maintenance Engineering, Vol. 7, No. 2,118-125. [Pg.201]

As the second-generation device contains integrated reaction and detection units, virtually real-time analysis could be achieved (compare to the delay in analysis for the first generation device described above) ]72-74],... [Pg.416]

Fig. 42.7. Histograms and cumulative distributions of the delays (waiting time + analysis time) in a department for structural analysis. (I) Observed values. ( ) Cumulative distribution. ( ) Fit with a theoretical model (not discussed in this chapter). Fig. 42.7. Histograms and cumulative distributions of the delays (waiting time + analysis time) in a department for structural analysis. (I) Observed values. ( ) Cumulative distribution. ( ) Fit with a theoretical model (not discussed in this chapter).
The 50.31 MHz 13C NMR spectra of the chlorinated alkanes were recorded on a Varian XL-200 NMR spectrometer. The temperature for all measurements was 50 ° C. It was necessary to record 10 scans at each sampling point as the reduction proceeded. A delay of 30 s was employed between each scan. In order to verify the quantitative nature of the NMR data, carbon-13 Tj data were recorded for all materials using the standard 1800 - r -90 ° inversion-recovery sequence. Relaxation data were obtained on (n-Bu)3SnH, (n-Bu)3SnCl, DCP, TCH, pentane, and heptane under the same solvent and temperature conditions used in the reduction experiments. In addition, relaxation measurements were carried out on partially reduced (70%) samples of DCP and TCH in order to obtain T data on 2-chloropentane, 2,4-dichloroheptane, 2,6-dichloroheptane, 4-chloroheptane, and 2-chloroheptane. The results of these measurements are presented in Table II. In the NMR analysis of the chloroalkane reductions, we measured the intensity of carbon nuclei with T values such that a delay time of 30 s represents at least 3 Tj. The only exception to this is heptane where the shortest T[ is 12.3 s (delay = 2.5 ). However, the error generated would be less than 10%, and, in addition, heptane concentration can also be obtained by product difference measurements in the TCH reduction. Measurements of the nuclear Overhauser enhancement (NOE) for carbon nuclei in the model compounds indicate uniform and full enhancements for those nuclei used in the quantitative measurements. Table II also contains the chemical... [Pg.360]

Resolvable modulation is detected on a three-pulse echo decay spectrum of predeuterated 3-carotene radical (Gao et al. 2005) as a function of delay time, T. The resulting modulation is known as ESEEM. Resolvable modulation will not be detected for nondeuterated P-carotene radical since the proton frequency is six times larger. The modulation signal intensity is proportional to the square root of phase sensitive detection and interfering two-pulse echoes and suppressed by phase-cycling technique (Gao et al. 2005). Analysis of the ESEEM spectrum yields the distance from the radical to the D nucleus, a the deuterium coupling constant, and the number of equivalent interacting nuclei (D). The details related to the analysis of the ESEEM spectrum are presented in Gao et al. 2005. [Pg.168]

Measurement of customer satisfaction (internal and external customers) as well as financial factors should also be considered. This may be based on customer surveys. Such surveys should include, and not limited to laboratory services, customer complaints, reject and reanalysis costs, measures of the time to complete an analysis or delay time to release a batch etc. [Pg.121]

The presence of Pr in apatite samples, up to 424.4 ppm in the blue apatite sample, was confirmed by induced-coupled plasma analysis (Table 1.3). The luminescence spectrum of apatite with a broad gate width of 9 ms is shown in Fig. 4.2a where the delay time of500 ns is used in order to quench the short-lived luminescence of Ce + and Eu +. The broad yellow band is connected with Mn " " luminescence, while the narrow lines at 485 and 579 nm are usually ascribed to Dy and the fines at 604 and 652 nm, to Sm +. Only those luminescence centers are detected by steady-state spectroscopy. Nevertheless, with a shorter gate width of 100 ps, when the relative contribution of the short lived centers is larger, the characteristic fines of Sm " at 652 nm and Dy + at 579 nm disappear while the fines at 485 and 607 nm remain (Fig. 4.2b). It is known that such luminescence is characteristic of Pr in apatite, which was proved by the study of synthetic apatite artificially activated by Pr (Gaft et al. 1997a Gaft... [Pg.133]


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See also in sourсe #XX -- [ Pg.186 , Pg.187 ]




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Delay Analysis

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