检索结果-内蒙古大学图书馆

Development of a Self-X Sensory Electronics for Anomaly Detection and its Conceptual Implementation on an XMR-based angular decoder Prototype

引用

TM-TECHNISCHES MESSEN 2023年第1期90卷 20-26页

作者： Gerken, Elena Zaman, Qummar Alraho, Senan Koenig, Andreas Rheinland Pfalz Tech Univ Kaiserslautern Landau Lehrstuhl Kognit Integrierte Sensorsyst KISE Fachbereich Elektrotech & Informat Tech Erwin Schrodinger Str D-67663 Kaiserslautern Germany

Efficient fault diagnosis, early anomaly detection, and prevention of equipment failures are crucial for reducing production costs and minimizing unplanned downtime. This paper focuses on developing a self-X system using artificial immune system algorithms to address the challenges of condition monitoring, quality control, and predictive maintenance in Industry 4.0. The proposed methodology incorporates self-monitoring, self-healing, and self-repairing capabilities into intelligent measuring systems equipped with a tunnel magnetoresistive (tmr) sensor-based angular decoder. In particular, the extension of the self-X hierarchy to the adaptive electronics level, with a focus on healing/adjustments before ADC's irreversible quantization loss is a key objective. The implemented self-X approach enables dynamic offset and gain compensation, improving angle accuracy. The experimental setup involves a reconfigurable analog front end with self-X properties (AFEX), a data acquisition unit, feature extraction, self-monitoring, and self-healing mechanisms. The results demonstrate the successful implementation of gain compensation using a fabricated current-feedback instrumentation amplifier. The experiments show the impact of signal amplitude drop on angle error calculation, with the maximum absolute error observed at 11 mm tmr sensor position. The self-X loop, including electronics, reduced the angle error to approximately 50 % by increasing the gain from 4 to 32. The results obtained from first experiment indicate a maximum absolute error of -6.552 degrees in angle computation, which is not yet competitive to SoA systems and needs further consideration and system fine-tuning to achieve a competitive and self-X sensor system.

关键词： Self-X system artificial immune system positive selection algorithm tmr-based angular decoder

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：