AIMC Topic: Equipment Failure

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Malfunction Events in the US FDA MAUDE Database: How Does Robotic Gynecologic Surgery Compare with Other Specialties?

Journal of minimally invasive gynecology Aug 28, 2021
STUDY OBJECTIVE: To review malfunction events (MEs) related to the use of the da Vinci robot reported to the United States Food and Drug Administration Manufacturer and User Facility Device Experience in the last 10 years and compare gynecologic surg...
Humans Female United States Robotic Surgical Procedures United States Food and Drug Administration Gynecologic Surgical Procedures Equipment Failure Robotics Laparoscopy
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Preclinical evaluation of a markerless, real-time, augmented reality guidance system for robot-assisted radical prostatectomy.

International journal of computer assisted radiology and surgery Jun 2, 2021
PURPOSE: Intra-operative augmented reality (AR) during surgery can mitigate incomplete cancer removal by overlaying the anatomical boundaries extracted from medical imaging data onto the camera image. In this paper, we present the first such complete...
Augmented Reality Surgery, Computer-Assisted Prostatectomy Ultrasonography Imaging, Three-Dimensional Equipment Failure Robotics Equipment Design Prostate Algorithms Humans Male Computer Systems
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A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction.

IEEE transactions on neural networks and learning systems Jan 4, 2021
With the rapid development of sensor and information technology, now multisensor data relating to the system degradation process are readily available for condition monitoring and remaining useful life (RUL) prediction. The traditional data fusion an...
Neural Networks, Computer Algorithms Equipment Failure Models, Statistical Bayes Theorem Computer Simulation Prognosis Reproducibility of Results Linear Models
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An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset.

ISA transactions May 11, 2020
Predictive maintenance is increasingly advancing into the aerospace industry, and it comes with diverse prognostic health management solutions. This type of maintenance can unlock several benefits for aerospace organizations. Such as preventing unexp...
Aviation Natural Language Processing Industry Artificial Intelligence Machine Learning Algorithms Databases, Factual Prognosis Equipment Failure
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IoT Based Predictive Maintenance Management of Medical Equipment.

Journal of medical systems Feb 20, 2020
Technological advancements are the main drivers of the healthcare industry as it has a high impact on delivering the best patient care. Recent years witnessed unprecedented growth in the number of medical equipment manufactured to aid high-quality pa...
Accelerometry Hospital Administration Maintenance Internet of Things Costs and Cost Analysis Support Vector Machine Equipment Failure Immunoassay United Arab Emirates Efficiency, Organizational Equipment and Supplies Humans Machine Learning Time Factors
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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system.

PloS one Jan 30, 2020
This paper proposes an approach to accurately estimate the impedance value of a high impedance fault (HIF) and the distance from its fault location for a distribution system. Based on the three-phase voltage and current waveforms which are monitored ...
Neural Networks, Computer Equipment Failure Electric Impedance Wavelet Analysis Electric Power Supplies
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A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network.

ISA transactions Nov 8, 2019
Normal operation of bearing is the key to ensure the reliability and security of rotary machinery, so that bearing fault diagnosis is quite significant. However, the large amount of data collected by modern data acquisition system and time-varying wo...
Reproducibility of Results Models, Theoretical Equipment Failure Neural Networks, Computer Artificial Intelligence Algorithms
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Risk Analysis of Earth-Rock Dam Failures Based on Fuzzy Event Tree Method.

International journal of environmental research and public health Apr 29, 2018
Earth-rock dams make up a large proportion of the dams in China, and their failures can induce great risks. In this paper, the risks associated with earth-rock dam failure are analyzed from two aspects: the probability of a dam failure and the result...
Hydrodynamics Fuzzy Logic Engineering Equipment Failure Rivers Humans China
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FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine.

ISA transactions Jun 2, 2016
As per modern electrical grid rules, Wind Turbine needs to operate continually even in presence severe grid faults as Low Voltage Ride Through (LVRT). Hence, a new LVRT Fault Detection and Identification (FDI) procedure has been developed to take the...
Signal Processing, Computer-Assisted Neural Networks, Computer Electric Power Supplies Algorithms Wind Nonlinear Dynamics Computer Simulation Mechanical Phenomena Equipment Failure
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Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data.

PloS one Apr 20, 2016
BACKGROUND: Use of robotic systems for minimally invasive surgery has rapidly increased during the last decade. Understanding the causes of adverse events and their impact on patients in robot-assisted surgery will help improve systems and operationa...
Robotics Laparoscopy United States Food and Drug Administration Humans Databases, Factual Retrospective Studies United States Equipment Failure
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