On component reliability and system reliability for automotive applications

Aal, A.; Polte, T.

doi:10.1109/iirw.2012.6468947

Cited by 10 publications

(5 citation statements)

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“…The basic relationship between the three configurations related to the optimizability and system customizability/re-configurability is shown in Figure 7. Note that (also shown in Figure 7) the system reliability will be generally inversely correlated with the number of interfaces in the system, as it is well-known in the systems engineering literature that the system interfaces are the typical points of failure in most systems [57][58][59][60][61][62][63][64][65]. This is especially true with a modular system like the one described in this paper, since most of the components/subsystems will be connected in a series configuration.…”

mentioning

confidence: 64%

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

2019

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This concept paper outlines a conceptual framework for the design and development of user-integrated semi-autonomous lawn mowing systems. This is approached from a systems engineering perspective, considering both hardware and software elements and integration with the user. This is an important and emerging field of study within the several engineering communities, including robotics, agricultural engineering, smart city development, and general systems engineering. In several sections of this paper, a review of current progress on this problem is presented (both in general and related to specific aspects of the system), followed by a discussion of the problem from a systems engineering perspective, a general system architecture developed by the authors, a preliminary set of design requirements, and a discussion of some practical implementation strategies. This work is meant to provide a baseline and motivation for the further development and refinement of these systems within the agricultural engineering and robotics communities and is relevant to both academic and commercial research.

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mentioning

confidence: 64%

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

2019

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“…The basic relationship between the three configurations related to the optimizability and system customizability/re-configurability is shown in Figure 5. Note that (also shown in Figure 5) the system reliability will be generally inversely correlated with the number of interfaces in the system, as it is well-known in the systems engineering literature that the system interfaces are the typical points of failure in most systems [24][25][26][27][28][29][30][31][32]. This is especially true with a modular system like the one described in this paper, since most of the components/subsystems will be connected in a series configuration.…”

Section: Proposed System Architecturementioning

confidence: 80%

System-Level Development of a User-Integrated Semi-Autonomous Lawn Mowing System: Problem Overview, Basic Requirements, and Proposed Architecture

Patterson,

Yuan,

Norris

2019

Preprint

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This concept paper outlines some recent efforts toward the design and development of userintegrated semi-autonomous home-sized lawn mowing systems from a systems engineering perspective. This is an important and emerging field of study within the robotics and systems engineering communities. The work presented includes a review of current progress on this problem, a discussion of the problem from a systems engineering perspective, a general system architecture developed by the authors, and a preliminary set of design requirements. This work is meant to provide a baseline and motivation for the further development and refinement of these systems within the systems engineering and robotics communities and is relevant to both academic and commercial research.Keywords Lawn mowing • semi-autonomous systems • user interface • requirements • system design IntroductionLawn mowing is one of the most essential tasks required for most home owners, requiring a significant investment of time and resources to accomplish properly. In 2018, lawn mowing equipment was estimated to be a US $27.5 billion global industry and projected to continue growing a further 5.2% between 2019 and 2025 [1]. In addition to the significant investment in equipment and time for the users, it is also typically considered to be an unpleasant task to complete and one that users would like to avoid when possible. In recent years, this has given rise to attempts to make lawn mowers more robotic and more autonomous, resembling the now-widespread Roomba vacuum cleaners [2-4]. There are a number of technical and system-level challenges with doing this for lawn mowers, however; this is a much more complex problem than the development of a robotic vacuum cleaner for four major reasons, namely, (1) the boundary and environmental conditions during use are much less well-defined, (2) a lawn mower has the potential to cause significant damage and injury to humans and animals if is goes rogue, (3) it is a much larger system with more complex set of sensors and controls, and (4) it is a much more valuable and expensive system. In addition to driving complexity in the system, these reasons all necessitate a rigorous security system, including hardware and software security, and a remote kill switch. To support the mower system, an effective method for maintaining the system is needed, as well as a mapping method.The application of autonomous and semi-autonomous robotic systems to lawn mowing and other humanassistant tasks [5,6] has been the topic of several major studies, mainly focused on how to accomplish effective path planning and how to control the system. Autonomous and semi-autonomous mowers should be clearly distinguished from simple automatic/robotic mowers [4] (such as tele-operated systems or Roomba-like systems), as the latter are not the topic of the present study. As it is typically understood, an autonomous system is defined as one that has no human interaction or decision-making in response to unexpected events

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“…However, the ADCs composed of various types of sub-block circuits can be significantly degraded in harsh radiation environments, such as in space, during flights, and in nuclear fusion reactors, which becomes a major problem in controlling the system [ 1 ]. In recent years, the systems that require high reliability, such as autonomous vehicles and optical interconnects, have also been shown to suffer from degradation of circuit performance due to radiation effects [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

A Soft-Error-Tolerant SAR ADC with Dual-Capacitor Sample-and-Hold Control for Sensor Systems

Lee

2021

Sensors

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For a reliable and stable sensor system, it is essential to precisely measure various sensor signals, such as electromagnetic field, pressure, and temperature. The measured analog signal is converted into digital bits through the sensor readout system. However, in extreme radiation environments, such as in space, during flights, and in nuclear fusion reactors, the performance of the analog-to-digital converter (ADC) constituting the sensor readout system can be degraded due to soft errors caused by radiation effects, leading to system malfunction. This paper proposes a soft-error-tolerant successive-approximation-register (SAR) ADC using dual-capacitor sample-and-hold (S/H) control, which has robust characteristics against total ionizing dose (TID) and single event effects (SEE). The proposed ADC was fabricated using 65-nm CMOS process, and its soft-error-tolerant performance was measured in radiation environments. Additionally, the proposed circuit techniques were verified by utilizing a radiation simulator CAD tool.

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On component reliability and system reliability for automotive applications

Cited by 10 publications

References 1 publication

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

System-Level Development of a User-Integrated Semi-Autonomous Lawn Mowing System: Problem Overview, Basic Requirements, and Proposed Architecture

A Soft-Error-Tolerant SAR ADC with Dual-Capacitor Sample-and-Hold Control for Sensor Systems

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