Gaining a better understanding of when electronics are about to fail can help engineers and companies be more effective in providing reliable electronics; this will also lead to a greater return on investments for businesses (Seggie, Cavusgil, & Phelan, 2007). Prior attempts of implementing algorithms have all failed due to the large bandwidth required to process the data in real time. The algorithms in this study will not require many resources and will use simple gate-logic and statistical data to alert an end-user of a potential failure. Scores, which are based on inputs from the end-user, for each of the four factors, will serve as the four independent variables for this study: (a) cost, (b) reliability, (c) component replacement, and (d) total system replacement.
Five different pieces of hardware will be subjected to the algorithms and tested five different times to validate if the prognostics are working. The prognostic-algorithms of years past are not intelligent enough to decipher large amounts of data. Van Bree, Veltman, Hendrix, and Van Den Bosch (2009) stated that rather than passively reacting to prognostic issues with limited fault-tolerances, the capabilities of a system should predict failures actively. The system should be able to reconfigure and control actions so that stability and acceptable performance of the entire system can be maintained (Van Bree et al., 2009). This research was intended to better understand the aspects of prognostics in the electronics world. This abridged literature review focuses on three key topics, which helped form and inspire the crux of the research questions: successful implementation of prognostics, time-to-market concerns, and technical risk.
Successful Implementation o...
... middle of paper ...
...issertation). Retrieved from ProQuest. (3442098)
Nadeau-Dostie, B. (2000). Design for at-speed test, diagnosis and measurement. Retrieved from http://site.ebrary.com/lib/ncent/Doc?id=10052637&ppg=25
Prichard, R. (2000). A case for embedded diagnostics. Fiber Optic Technology, 15(12), 138- 139. Retrieved from http://search.proquest.com/docview/219535540?accountid=28180
Seggie, S. H., Cavusgil, E., & Phelan, S. E. (2007). Measurement of return on marketing investment: A conceptual framework and the future of marketing metrics. Industrial Marketing Management, 36(1), 834-834. doi: 10.1016/j.indmarman.2006.11.001
Van Bree, P., Veltman, A., Hendrix, W., & Van Den Bosch, P. (2009). Prediction of battery behavior subject to high-rate partial state of charge. IEEE Vehicular Technology Society, 58(2), 1-18. doi:10.1109/TVT.2008.928005
Armstrong, Gary, and Philip Kotler. Marketing: an introduction. 11th ed. Upper Saddle River, NJ: Pearson Prentice Hall, 2013. Print.
Failure is not an option, this phrase rushes through everyone’s head while trying to complete a task or goal successfully. Failure is thought of a parasitic word that only successful people have not heard of. With the article “Failure is not an Option” I feel it’s very well written and I agree with much of the article when Allison Carr, the author, explains how failure can be used as a learning tool. While she also states how failure is a bad thing, or parasitic as I stated before. I really appreciated how she covered both sides of the debate. However, I think Carr should touch about grit and open mindedness. Which are the two most vital traits to have while trying to learn from your mistakes, in my opinion.
However, there are times when the communication signals between the assembly line and integrated manufacturing aren’t clear, or a work center in integrated manufacturing is offline while it is being repaired. When these miscommunications and repair issues happen it o...
6 framework I and many others regularly use in analysis of marketing situations. We supplemented
The article is a credible primary source peer-reviewed journal article published in Communications of the Association for Computing Machinery (ACM). This is a non-profit organization which publishes computing articles of differing views. Martin Ford is highly qualified in technology and the future, having a business degree along with a computer engineering degree. He is unbiased in his article, using only logic and data to support his
Kotler, P. & Keller, K.L., (2009), A Framework for Marketing Management. 4th edition, Pearson Prentice Hall: USA
A single point of failure refers to the failure of a component that can terminate
1.0 IntroductionIn this report I will be concentrating on the failure of software systems. To understand why software systems fail we need to understand what are software systems. Software systems are a type of information system. This is because a software system is basically a means for hardware to process information. Flynn’s definition of an information system is:"An information system provides procedures to record and make available information, concerning part of an organization, to assist organization-related activities."Humans have been processing information manually for thousands of years, but with the vast increase of demand for knowledge this century has meant that a new method of information processing has been needed. Software systems have provided a new means that is much faster and efficient.
Etzel, Michael J., Stanton, Bruce J., Stanton, William J. (2004). Marketing. (13th ed.). Boston: McGraw-Hill.
Kotler, P., & Keller, K. (2012). Marketing management (14th ed., Global ed.). Boston, [Mass.: Pearson.
...her part is V-I characteristics in which and gives the transient response, and [24]. This modified model is used for predicting battery Run-time and I-V characteristic but this model is not suitable for transient response occurred due to short duration load. This model is used in Li-ion, NiMH, and lead-acid batteries for predicting SOC, terminal voltage, and power losses. Accurate determination of battery in this model, discharge capacity is a function of the discharge rate i(t) , temperature and cycle number it also include rate factor . SOC and is given by equation as:This paper is a literature reviews of different the types of battery models. These models having different properties as well as different characteristics. State of charge, run time etc we have different models for different applications like HEVs/EVs we use the adaptive model
Reliability when dealing with any type of computer-related technology is an extremely important issue. Computer
...e failure rate immediately preceding the failure. Their algorithm determines the optimal schedule of maintenance actions before each replacement action in order to minimize the total cost in a placing horizon.
Age also plays a huge roll in the performance of all aircraft systems. Over time aircraft components will begin to malfunction and could eventually lead to aircraft accidents. Some systems talked about will be the fuel system, oil system, and electrical system. There are many ways to detect these malfunctions before a serious accident occurs.
Critical component deserves to be inspected by several people, preferably those who have a stake in its quality, performance or feature set