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Titlebook: Strategische Personalentwicklung; Psychologische, päda Andrea Beinicke,Tanja Bipp Textbook 2022Latest edition Der/die Herausgeber bzw. der/

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楼主: Conjecture
发表于 2025-3-23 12:02:48 | 显示全部楼层
Thomas Ellwart,Andrea Beinicke,Tanja Bippwhich resulted in short mode failures in ceramic chip capacitors over a period of time due to metal migration. In this paper, controlled experiments were conducted to demonstrate short mode failure in MLCCX7RU capacitors initiated due to cracks developed in them during assembly fabrication. Effect o
发表于 2025-3-23 16:54:53 | 显示全部楼层
Ute-Christine Klehe,Andrea Beinicke,Tanja Bippwe obtain a rigorous mathematical proof of the safety at system level—a level that is usually covered by informal reasoning and domain expert knowledge only. Such proof is thus feasible and it brings to light and precisely records the knowledge and know-how of the domain experts that have designed t
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Frank Vohle,Andrea Beinicke,Tanja Bippormal specification and verification of interlocking systems. They have successfully been applied to (1) define a generic model and generic safety properties for the new Danish interlocking systems and to (2) instantiate these generic artefacts for real-world stations and lines in Denmark. A novelty
发表于 2025-3-24 08:28:23 | 显示全部楼层
Jens Rowold,Andrea Beinicke,Tanja Bippachieved through the SDN paradigm. Being aware that in a railway scenario this opportunity can be exploited to dynamically reconfigure the network behavior to better match the communication flows produced by moving trains, we aim at defining a framework, integrating formal modeling and analysis tool
发表于 2025-3-24 11:07:30 | 显示全部楼层
Simone Kauffeld,Andrea Beinicke,Tanja Bippion models for prediction. The proposed method has been validated using real-world gearbox data provided by our industrial partner, Alstom Transport AB in Sweden. The results are promising, particularly with respect to the predicted failure time. Our model predicted the failure to occur on day 330,
发表于 2025-3-24 17:47:32 | 显示全部楼层
ion models for prediction. The proposed method has been validated using real-world gearbox data provided by our industrial partner, Alstom Transport AB in Sweden. The results are promising, particularly with respect to the predicted failure time. Our model predicted the failure to occur on day 330,
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