scholarly journals Determining Remaining Lifetime of Wind Turbine Gearbox Using a Health Status Indicator Signal

2020 ◽  
Vol 1618 ◽  
pp. 022037
Author(s):  
Roberto Lázaro ◽  
Nurseda Y. Yürüșen ◽  
Julio J. Melero
Keyword(s):  
Health Status ◽  
Wind Turbine ◽  
Wind Turbine Gearbox ◽  
Status Indicator ◽  
Health Status Indicator ◽  
Indicator Signal

scholarly journals Incidence of Sickness Certification:Proposal for use as a health status indicator

1989 ◽  
Vol 7 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Gunnar Tellnes ◽  
Kjell-Olav B. Svendsen ◽  
Dag Bruusgaard ◽  
Tor Bjerkedal
Keyword(s):  
Health Status ◽  
Status Indicator ◽  
Health Status Indicator

A randomised controlled study of mindfulness meditation versus relaxation therapy in the management of tinnitus

2017 ◽  
Vol 131 (6) ◽  
pp. 501-507 ◽  
Author(s):  
M Arif ◽  
M Sadlier ◽  
D Rajenderkumar ◽  
J James ◽  
T Tahir
Keyword(s):  
Health Status ◽  
Outcome Measures ◽  
Mindfulness Meditation ◽  
Depression Scale ◽  
Secondary Outcome ◽  
Controlled Study ◽  
Relaxation Therapy ◽  
Status Indicator ◽  
Health Status Indicator ◽  
Randomised Controlled

AbstractObjective:Psychotherapeutic interventions have been adopted effectively in the management of tinnitus for a long time. This study compared mindfulness meditation and relaxation therapy for management of tinnitus.Methods:In this randomised controlled trial, patients were recruited for five sessions of mindfulness meditation or five sessions of relaxation therapy. Patients’ responses were evaluated using the Tinnitus Reaction Questionnaire as a primary outcome measure, and the Hospital Anxiety and Depression Scale, visual analogue scale and a health status indicator as secondary outcome measures.Results:A total of 86 patients were recruited. Thirty-four patients completed mindfulness meditation and 27 patients completed relaxation therapy. Statistically significant improvement was seen in all outcome measures except the health status indicator in both treatment groups. The change in treatment scores was greater in the mindfulness meditation group than in the relaxation therapy group.Conclusion:This study suggests that although both mindfulness meditation and relaxation therapy are effective in the management of tinnitus, mindfulness meditation is superior to relaxation therapy.

A health status indicator for the Chinese elderly in Hong Kong

1995 ◽  
Vol 40 (2) ◽  
pp. 133-137 ◽  
Author(s):  
W.C. Ip ◽  
Y.K. Kwan ◽  
G.T.Y. Pong ◽  
A.C.K. Poon
Keyword(s):  
Hong Kong ◽  
Health Status ◽  
Chinese Elderly ◽  
Status Indicator ◽  
Health Status Indicator

Fault Diagnosis of Wind Turbine Gearbox Based on Improved QPSO Algorithm

2019 ◽  
Vol 12 (3) ◽  
pp. 277-283
Author(s):  
Jiatang Cheng ◽  
Yan Xiong
Keyword(s):  
Particle Swarm Optimization ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Bp Neural Network ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Wind Turbine Gearbox ◽  
Bp Network ◽  
Swarm Optimization ◽  
Quantum Particle Swarm Optimization

Background: The effective diagnosis of wind turbine gearbox fault is an important means to ensure the normal and stable operation and avoid unexpected accidents. Methods: To accurately identify the fault modes of the wind turbine gearbox, an intelligent diagnosis technology based on BP neural network trained by the Improved Quantum Particle Swarm Optimization Algorithm (IQPSOBP) is proposed. In IQPSO approach, the random adjustment scheme of contractionexpansion coefficient and the restarting strategy are employed, and the performance evaluation is executed on a set of benchmark test functions. Subsequently, the fault diagnosis model of the wind turbine gearbox is built by using IQPSO algorithm and BP neural network. Results: According to the evaluation results, IQPSO is superior to PSO and QPSO algorithms. Also, compared with BP network, BP network trained by Particle Swarm Optimization (PSOBP) and BP network trained by Quantum Particle Swarm Optimization (QPSOBP), IQPSOBP has the highest diagnostic accuracy. Conclusion: The presented method provides a new reference for the fault diagnosis of wind turbine gearbox.

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