Reliability Development

Gain fast, reliable development through reuse... 

Most development teams could benefit from thinking more in terms of building their own components for their application area. This is the key to fast, reliable development to do it the way hardware designers have been doing it for two centuries and build components that can be assembled together in many combinations. Most end products—and indeed most components—should be assemblies of smaller components, built either elsewhere or in-house. 

Provide Proficiency Testing (PT) to field laboratories to establish comparability and reliability Develop and validate analytical methods in the field of responsibility... 

Wafer Cleaning Techniques Wafer cleaning affects postpolish particle and contamination levels, and therefore affects yield and reliability. Development of a CMP process must include the post-polish clean sequence to optimize yield and reliability. 

Combining robotic and continuous systems for more reliable development of the whole analytical process... 

The benefit of a standard method is the scrutiny and evaluation that it has received by fellow professionals. For that reason, a regulatory agency or customer may require application of specified standard methods in the radioanalytical chemistry laboratory. If another method is preferred because of its greater flexibility, rapidity, or ease in application, it may be compared initially or periodically with a standard method to confirm its reliability. Development and approval of these standards takes much time, effort, and money. For that reason, the standards are available from these agencies for a fee, generally ranging from 50 to 75. 

Assuming positive answers to the preceding three questions, can an appropriate model of retention and band broadening for these macromolecules be used for the systematic and reliable development of a final separation procedure and/or for the design of better column... 

Team learning transforming conversational and collective thinking skills so that groups of people can reliably develop intelligence and abihty greater than the sum of individual members talents. 

McLinn, J. A., Reliability Development and Improvement of a Medical Instrument, Proceedings of the Annual Reliability and Maintainability Symposium, 1996, pp. 236-242. 

Software engineering is an expression of a reliable development process within which to create program design, its implementation, and aU related documents. 

Ling, J. Integrated Reliability Development for the Front Suspension Systems in Light Duty Dodge Ram Truck. International Journal of Reliability, Quality, and Safety Engineering 13, no. 3 (2006) 193-202. 

Gas reservoirs are produced by expansion of the gas contained in the reservoir. The high compressibility of the gas relative to the water in the reservoir (either connate water or underlying aquifer) make the gas expansion the dominant drive mechanism. Relative to oil reservoirs, the material balance calculation for gas reservoirs is rather simple. A major challenge in gas field development is to ensure a long sustainable plateau (typically 10 years) to attain a good sales price for the gas the customer usually requires a reliable supply of gas at an agreed rate over many years. The recovery factor for gas reservoirs depends upon how low the abandonment pressure can be reduced, which is why compression facilities are often provided on surface. Typical recovery factors are In the range 50 to 80 percent. 

The amount of detail input, and the type of simulation model depend upon the issues to be investigated, and the amount of data available. At the exploration and appraisal stage it would be unusual to create a simulation model, since the lack of data make simpler methods cheaper and as reliable. Simulation models are typically constructed at the field development planning stage of a field life, and are continually updated and increased in detail as more information becomes available. 

Our experiences with the software developed within the ANDES project have shown that CBR is a helpful methodology for use in the interpretation of NDT data from field inspections. Because CBR systems can adapt to new situations they can cope with inspection of varying constructions in varying conditions. However, because CBR systems learn from classifications made by the operator this means that they will not be very useful for completely automatic interpretation. Fortunately, most of the NDT inspection requires the presence of an operator because of the required high reliability. 

The recognition ratios achieved by CBR systems developed as part of this project could not be bettered by either neural-network classifiers or rule-based expert system classifiers. In addition, CBR systems should be mote reliable than simple classifiers as they are programmed to recognise unknown data. The knowledge acquisition necessary to build CBR systems is less expensive than for expert systems, because it is simpler to describe the knowledge how to distinguish between certain types of data than to describe the whole data contents. 

Up-to-day reliability requirements as applied to NPP strength maintenance govern development of new generation of computerized systems for in-service inspection. These systems in parallel with capabilities of ordinary ultrasonic techniques allow to reconstruct high resolution image of inner flaw and increase available amount of information. 

Two different types of calibration marks are used in our experiments, planar circles and circular balls. The accuracy of the calibration procedure depends on the accuracy of the feature detection algorithms used to detect the calibration marks in the images. To take this in account, a special feature detection procedure based on accurate ellipses fitting has been developed. Detected calibration marks are rejected, if the feature detection procedure indicates a low reliability. 

X-ray tubes are used in a broad variety of technical applications the classical application certainly is the radiographic inspection. For the penetration of high-Z materials, relatively high power is required. This lead to the development of X-ray tubes for laboratory and field use of voltages up to 450 kV and cp power up to 4,5 kW. Because of design, performance and reliability reasons, most of these maximum power stationary anode tubes are today made in metal-ceramic technology. 

We are confident that any user of this combined evaluation technique, as well as the development of future test standards for manual ultrasonic testing will benefit from this result, because it allows a greater flexibility in the applicable method without loosing reliability. Often an expensive production of a reference block can be avoided and therefore testing costs are reduced. Since all calculations are performed by a PC, the operator can fully concentrate on his most important duty scanning the workpiece and observing the A-scan. Additional time will be saved for the test documentation, since all testing results are stored in the instrument s memory (the PC s hard drive) with full link to the Software World (Microsoft Word, Excel, etc.). 

F.H. Dijkstra, J.A. de Raad, H hy Develop Acceptance Criteria for Pipeline Girth Weld Defects European-American Workshop Determination of Reliability and Validation Methods of NDE, Berlin 18-20 June 1997... 

In developing the procedure of testing the features of NDT technological process must be taken into account, particularly, availability of the object for testing, strict characteristics of NDT devices being used and other factors which influence on the accuracy and reliability of measurements. 

A systematic comparison of two sets of data requires a numerical evaluation of their likeliness. TOF-SARS and SARIS produce one- and two-dhnensional data plots, respectively. Comparison of sunulated and experimental data is accomplished by calculating a one- or two-dimensional reliability (R) factor [33], respectively, based on the R-factors developed for FEED [34]. The R-factor between tire experimental and simulated data is minimized by means of a multiparameter simplex method [33]. 

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