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相关概念视频

Fault Types01:18

Fault Types

128
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
128
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.3K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

740
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
740
Bus Impedance Matrix01:24

Bus Impedance Matrix

179
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
179
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

166
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
166
Machines: Problem Solving II01:30

Machines: Problem Solving II

374
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
374

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相关实验视频

Updated: Sep 16, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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智能生产线的知识图驱动故障诊断方法

Yanjun Chen1,2,3, Min Zhou1,2,3, Meizhou Zhang1,2,3

  • 1Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

本研究介绍了一种知识图方法,用于智能生产线故障诊断. 它通过整合ALBERT-BiLSTM-Attention-CRF模型和Neo4j图形数据库来提高故障识别和诊断效率.

关键词:
BiLSTM (双向长时间短期记忆网络)认可实体的认可 实体的认可错误诊断 错误诊断 错误诊断 是一个问题.智能生产线是一个智能生产线.知识图表知识图表

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相关实验视频

Last Updated: Sep 16, 2025

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科学领域:

  • 智能制造是一个智能制造.
  • 知识工程知识工程知识工程
  • 错误诊断 错误诊断 在

背景情况:

  • 智能生产线需要高效的故障诊断才能保证可靠的运行.
  • 管理和应用故障知识对于提高诊断效率至关重要.
  • 现有的方法可能缺乏有效整合和利用各种故障知识的能力.

研究的目的:

  • 提出一种故障诊断方法,利用智能生产线的知识图表.
  • 提高故障诊断和管理的效率和准确性.
  • 为维护人员提供一个直观的工具.

主要方法:

  • 设计了一个错误知识的本体模型,集成文本特征和专家见解.
  • 采用ALBERT-BiLSTM-Attention-CRF模型用于命名实体和关系的故障识别.
  • 利用Neo4j图形数据库来存储和可视化故障知识.

主要成果:

  • 与BiLSTM-CRF相比,ALBERT模型的F1得分提高了7.3%.
  • 注意力机制在关系提取方面提高了F1得分7.37%.
  • 通过对CNC加工中心故障诊断的案例研究来验证有效性.

结论:

  • 建议的知识图法在识别与故障相关的文本实体和关系方面表现出色.
  • 有效地利用元件之间先前的故障知识来阐明原因.
  • 提高诊断准确性和效率,为维护人员提供决策支持.