Results 41 to 50 of about 6,390,732 (328)

Acoustic Emissions and monitoring bearing health [PDF]

open access: yes, 2003
Acoustic emission (AE) was originally developed for non-destructive testing of static structures. however, over the years its application has been extended to health monitoring of rotating machines and bearings.
Mba, David
core   +1 more source

Prediction of wind turbine generator bearing failure through analysis of high‐frequency vibration data and the application of support vector machine algorithms

open access: yesJurnal Engineering, 2019
Innovations which help facilitate predictive maintenance strategies have the potential to greatly reduce costs associated with wind turbine O&M by driving efficiency and increasing wind turbine availability.
A. Turnbull   +3 more
semanticscholar   +1 more source

Detection and Diagnosis of Rolling Element Bearing Faults Using Time Encoded Signal Processing and Recognition [PDF]

open access: yes
This thesis presents a systematic study of using TESPAR (Time Encoded Signal Processing and Recognition), which presently is in use as an effective tool for speech recognition and shows great advantages in computational demands and accuracy, to develop a
Abdusslam, Shukri Ali
core   +3 more sources

Axial Compressive Behaviour and Calculation Method of Bolted Longitudinal Seams in Large-Wave Corrugated Steel Utility Tunnels

open access: yesBuildings
Large-wave corrugated steel utility tunnels have been widely used in underground engineering in recent years due to their excellent deformation adaptability and short construction period.
Chenqian Zhang   +6 more
doaj   +1 more source

Bearing failure prediction using audio signal analysis based on SVM algorithms

open access: yesIOP Conference Series: Materials Science and Engineering, 2019
Bearings are machine elements used in a wide variety of applications including transportation. The accurate prediction of a bearing failure is important to sensitive applications to secure its safety during the service life. Bearing failure prediction is
F. Marin, C. Solomon, M. Marin
semanticscholar   +1 more source

Failure Mode Detection and Validation of a Shaft-Bearing System with Common Sensors

open access: yesSensors, 2022
Failure mode detection is essential for bearing life prediction to protect the shafts on the machinery. This work demonstrates the rolling bearing vibration measurement, signals converting and analysis, feature extraction, and machine learning with ...
Chung-Hsien Kuo   +2 more
doaj   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak   +5 more
wiley   +1 more source

Reliability Assessment Model and Simulation of Journal Bearing of Railway Freight Cars Based on Bayesian Method under Small Sample Sizes

open access: yesJournal of Advanced Transportation, 2022
Generally, the box bearing of railway freight cars has no bearing sample failure data at the end of the time-terminated reliability test. However, it is expensive and has high service reliability requirements.
Juping Yang   +3 more
doaj   +1 more source

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo   +11 more
wiley   +1 more source

Predictive Analytics-Based Methodology Supported by Wireless Monitoring for the Prognosis of Roller-Bearing Failure

open access: yesMachines
Roller mills are commonly used in the production of mining derivatives, since one of their purposes is to reduce raw materials to very small sizes and to combine them.
Ernesto Primera   +3 more
doaj   +1 more source

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