AIMC Topic: Equipment Failure Analysis

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Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware.

IEEE transactions on biomedical circuits and systems May 19, 2020
This paper proposes novel methods for making embryonic bio-inspired hardware efficient against faults through self-healing, fault prediction, and fault-prediction assisted self-healing. The proposed self-healing recovers a faulty embryonic cell throu...
Models, Biological Biomimetics Equipment Failure Analysis Neural Networks, Computer Machine Learning Signal Processing, Computer-Assisted
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Advanced Data Analytics for Clinical Research Part II: Application to Cardiothoracic Surgery.

Innovations (Philadelphia, Pa.) Feb 28, 2020
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances ...
Communication Male Surgeons Humans Female Natural Language Processing Data Mining Digital Technology Big Data Data Science Monitoring, Physiologic Medical Order Entry Systems Thoracic Surgical Procedures Equipment Failure Analysis Internet of Things Clinical Protocols Health Care Sector
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Advantages of aquatic animals as models for bio-inspired drones over present AUV technology.

Bioinspiration & biomimetics Feb 7, 2020
Robotic systems are becoming more ubiquitous, whether on land, in the air, or in water. In the aquatic realm, aquatic drones including ROVs (remotely operated vehicles) and AUVs (autonomous underwater vehicles) have opened new opportunities to invest...
Swimming Models, Animal Equipment Failure Analysis Aquatic Organisms Biomimetics Computer Simulation Robotics Animals Remote Sensing Technology Equipment Design
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A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.

ISA transactions May 21, 2019
The safety and public health during nuclear power plant operation can be enhanced by accurately recognizing and diagnosing potential problems when a malfunction occurs. However, there are still obvious technological gaps in fault diagnosis applicatio...
Support Vector Machine Particulate Matter Equipment Failure Analysis Online Systems Nuclear Power Plants Algorithms Computer Simulation
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New principle of busbar protection based on a fundamental frequency polarity comparison.

PloS one Mar 21, 2019
To overcome the contradiction between speed and reliability in existing busbar protection schemes, a new busbar protection algorithm based on a polarity comparison of fundamental frequency currents is proposed. The algorithm extracts the fundamental ...
Models, Theoretical Equipment Failure Analysis Electric Power Supplies Neural Networks, Computer Algorithms Computer Simulation
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Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes.

Computational intelligence and neuroscience Feb 3, 2019
Gearboxes are mechanical devices that play an essential role in several applications, e.g., the transmission of automotive vehicles. Their malfunctioning may result in economic losses and accidents, among others. The rise of powerful graphical proces...
Equipment Failure Analysis Support Vector Machine Decision Making Humans Neural Networks, Computer Algorithms
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Towards the development of robot immune system: A combined approach involving innate immune cells and T-lymphocytes.

Bio Systems Aug 10, 2018
Mobile robots in uncertain and unstructuredenvironments frequently encounter faults. Therefore, an effective fault detection and recovery mechanism is required. One can possibly investigate natural systems to seek inspiration to develop systems that ...
Algorithms Computer Simulation T-Lymphocytes Immunity, Innate Robotics Biomimetics Humans Artificial Intelligence Software Equipment Failure Analysis Models, Immunological
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An improved wrapper-based feature selection method for machinery fault diagnosis.

PloS one Dec 20, 2017
A major issue of machinery fault diagnosis using vibration signals is that it is over-reliant on personnel knowledge and experience in interpreting the signal. Thus, machine learning has been adapted for machinery fault diagnosis. The quantity and qu...
Equipment Failure Analysis Algorithms Support Vector Machine
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Assessment of pose repeatability and specimen repositioning of a robotic joint testing platform.

Medical engineering & physics Jun 24, 2017
This paper describes the quantitative assessment of a robotic testing platform, consisting of an industrial robot and a universal force-moment sensor, via the design of fixtures used to hold the tibia and femur of cadaveric knees. This platform was u...
Equipment Failure Analysis Sensitivity and Specificity Posture Robotics Humans Joints Equipment Design Patient Positioning Reproducibility of Results Range of Motion, Articular
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Scalable Device for Automated Microbial Electroporation in a Digital Microfluidic Platform.

ACS synthetic biology Jun 7, 2017
Electrowetting-on-dielectric (EWD) digital microfluidic laboratory-on-a-chip platforms demonstrate excellent performance in automating labor-intensive protocols. When coupled with an on-chip electroporation capability, these systems hold promise for ...
Electroporation Transformation, Bacterial Escherichia coli Robotics Lab-On-A-Chip Devices Equipment Design Microelectrodes Signal Processing, Computer-Assisted Equipment Failure Analysis Transfection
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