نتایج جستجو برای: machine reliability

تعداد نتایج: 402020  

Journal: :International journal of online and biomedical engineering 2023

It is no secret that the rise of Internet and other digital technologies has sparked renewed interest in AI-based techniques, especially those fall under umbrella subset algorithms known as "Machine Learning" (ML).
 These advancements electronics have allowed us to comprehend world beyond bounds human cognition. A high-dimensional dataset's complicated nature. Although these techniques bee...

Journal: :Symmetry 2021

One way to optimize wastewater treatment system infrastructure, its operations, monitoring, maintenance and management is through development of smart forecasting, monitoring failure prediction systems using machine learning modeling. The aim this paper was develop a model that able predict water pump based on the asymmetrical type data obtained from sensors such as levels, capacity, current fl...

Journal: :Materials research proceedings 2023

Abstract. Current approaches to maintenance of rolling stock bogies are focused on compliance wear limits as stipulated by OEM specifications. recommendations critical providing an industry wide approach safety and compliance. These not operation specific often the most cost-effective solutions. A system reliability is established that applied in less complex systems where relationships between...

Journal: :IOP Conference Series: Materials Science and Engineering 2021

2001
Walter F. Kozikowski

• Lack of desi9n and en9ineering stall knowledge (and time) • Lack of central computer or MIS stall knowledge • Lack of operator or foreman acceptance • Lack of information on equipment and software capabilities • Lack of inside or outside programming capabilities • Lack of outside consultants to assist the effort • Lack of higher management interest • Lack of suppliers to take entire system re...

2002
Matjaž Kukar

10 In the past decades Machine Learning tools have been successfully used in 11 several medical diagnostic problems. While they often significantly out12 perform expert physicians (in terms of diagnostic accuracy, sensitivity, and 13 specificity), they are mostly not being used in practice. One reason for this 14 is that it is difficult to obtain an unbiased estimation of diagnose’s reliabil15 ...

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