Aircraft Propulsion Health Management

2011 ◽  
pp. 389-403 ◽  
Author(s):  
Al Volponi ◽  
Bruce Wood
Keyword(s):  
Health Management ◽  
Aircraft Propulsion

scholarly journals A Survey of Intelligent Control and Health Management Technologies for Aircraft Propulsion Systems

2004 ◽  
Vol 1 (12) ◽  
pp. 543-563 ◽  
Author(s):  
Jonathan S. Litt ◽  
Donald L. Simon ◽  
Sanjay Garg ◽  
Ten-Heui Guo ◽  
Carolyn Mercer ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Health Management ◽  
Propulsion Systems ◽  
Aircraft Propulsion

scholarly journals Topical Issues in Aircraft Health Management with Applications to Jet Engines

2020 ◽  
Vol 12 (1) ◽  
pp. 13-26
Author(s):  
Sorin BERBENTE ◽  
Irina-Carmen ANDREI ◽  
Gabriela STROE ◽  
Mihaela-Luminita COSTEA
Keyword(s):  
Life Cycle ◽  
Health Management ◽  
Fuel Efficiency ◽  
Jet Engines ◽  
Propulsion Systems ◽  
Management Technology ◽  
Operations And Maintenance ◽  
And Performance ◽  
Aircraft Propulsion System ◽  
Aircraft Propulsion

Aircraft Health Management Technology for jet engines represents a very important problem, since it develops a large impact on reducing the engine life cycle costs, improving the fuel efficiency, increasing the engines durability and life cycle. This technology is high-end and, in order to enable an improved level of performance that far exceeds the current one, propulsion systems must comply with terms of reducing harmful emissions, maximizing fuel efficiency and minimizing noise, while improving system’s affordability and safety. Aircraft Health Management Technology includes multiple goals of aircraft propulsion control, diagnostics problems, prognostics realized, and their proper integration in control systems. Modern control for Aircraft Health Management Technology is based on improved control techniques and therefore provides improved aircraft propulsion system performances. The study presented in this paper approaches a new concept, of attractive interest currently, that is the intelligent control; in this context, the Health Management of jet engines is crucial, being focused on engine controllers which are designed to match certain operability and performance constraints. Automated Engine Health Management has the capacity to significantly reduce the maintenance effort and propulsion systems’ logistical footprint. In order to prioritize and resolve problems in the field of support engineering there are required more detailed data on equipment reliability and failures detection and management; the equipment design, operations and maintenance procedures and tooling are also very important.

Körperliche Beschwerden bei älteren Migranten in Deutschland 1Erstellt unter Mitwirkung der Arbeitsgruppe «Abuse of the Elderly in the European Region» (ABUEL): Joaquim F. J. Soares, Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden; Francisco Torres-González, Departmental Section of Psychiatry and Psychological Medicine, University of Granada, Spain; Elisabeth Ioannidi-Kapolou, National School of Public Health, Department of Sociology, Athens, Greece; Giovanni Lamura, Italian National Research Centre on Ageing Department of Gerontological Research, Unit of Health Economics, Ancona, Italy; Mindaugas Stankunas, Kaunas University of Medicine, Department of Health Management, A. Mickeviciaus, Kaunas, Lithuania; Henrique Barros, Department of Hygiene and Epidemiology, University of Porto Medical School, Porto, Portugal.

2010 ◽  
Vol 58 (3) ◽  
pp. 199-206 ◽  
Author(s):  
Rosina-Martha Csöff ◽  
Gloria Macassa ◽  
Jutta Lindert
Keyword(s):  
Public Health ◽  
Health Management ◽  
The Elderly ◽  
Health Department ◽  
Research Unit ◽  
Research Centre ◽  
Public Health Department ◽  
Karolinska Institute ◽  
Psychological Medicine ◽  
Körperliche Beschwerden

Körperliche Beschwerden sind bei Älteren weit verbreitet; diese sind bei Migranten bislang in Deutschland und international noch wenig untersucht. Unsere multizentrische Querschnittstudie erfasste körperliche Beschwerden bei Menschen im Alter zwischen 60 und 84 Jahren mit Wohnsitz in Stuttgart anhand der Kurzversion des Gießener Beschwerdebogens (GBB-24). In Deutschland wurden 648 Personen untersucht, davon 13.4 % (n = 87) nicht in Deutschland geborene. Die Geschlechterverteilung war bei Migranten und Nichtmigranten gleich; der sozioökonomische Status lag bei den Migranten etwas niedriger: 8.0 % (n = 7) der Migranten und 2.5 % (n = 14) der Nichtmigranten verfügten über höchstens vier Jahre Schulbildung; 12.6 % (n = 11) der Migranten und 8.2 % (n = 46) der Nichtmigranten hatten ein monatliches Haushaltsnettoeinkommen von unter 1000€; 26.4 % der Migranten und 38.1 % (n = 214) der Nichtmigranten verfügten über mehr als 2000€ monatlich. Somatische Beschwerden lagen bei den Migranten bei 65.5 % (n = 57) und bei den Nichtmigranten bei 55.8 % (n = 313). Frauen wiesen häufiger somatische Beschwerden auf (61.8 %) als Männer (51.8 %). Mit steigendem Alter nahmen somatische Beschwerden zu. Mit Ausnahme der Altersgruppe der 70–74-Jährigen konnte kein signifikanter Unterschied zwischen Migranten und Nichtmigranten hinsichtlich der Häufigkeit körperlicher Beschwerden gezeigt werden. Ausblick: Es werden dringend bevölkerungsrepräsentative Studien zu körperlichen Beschwerden bei Migranten benötigt.

Disease-Specific Stressors Among Youths With HIV/AIDS: Toward Tailored Health Management

2006 ◽  
Author(s):  
Lisa A. Orban ◽  
Renee Stein ◽  
Linda J. Koenig ◽  
Erika L. Rexhouse ◽  
Ricardo D. Lagrange ◽  
...  
Keyword(s):  
Health Management ◽  
Disease Specific ◽  
Hiv Aids

On-farm udder health monitoring

2011 ◽  
Vol 39 (02) ◽  
pp. 95-100
Author(s):  
J. C. van Veersen ◽  
O. Sampimon ◽  
R. G. Olde Riekerink ◽  
T. J. G. Lam
Keyword(s):  
Management Practices ◽  
Health Management ◽  
Action Plan ◽  
Real Life ◽  
Health Data ◽  
Control Points ◽  
Udder Health ◽  
Critical Control Points ◽  
On Farm ◽  
Clinical Problems

SummaryIn this article an on-farm monitoring approach on udder health is presented. Monitoring of udder health consists of regular collection and analysis of data and of the regular evaluation of management practices. The ultimate goal is to manage critical control points in udder health management, such as hygiene, body condition, teat ends and treatments, in such a way that results (udder health parameters) are always optimal. Mastitis, however, is a multifactorial disease, and in real life it is not possible to fully prevent all mastitis problems. Therefore udder health data are also monitored with the goal to pick up deviations before they lead to (clinical) problems. By quantifying udder health data and management, a farm is approached as a business, with much attention for efficiency, thought over processes, clear agreements and goals, and including evaluation of processes and results. The whole approach starts with setting SMART (Specific, Measurable, Acceptable, Realistic, Time-bound) goals, followed by an action plan to realize these goals.

An Overview of Digital Health in the Transition of Pediatric to Adult Epilepsy Care

2020 ◽  
Vol 09 (04) ◽  
pp. 106-113
Author(s):  
Ysabeau Bernard-Willis ◽  
Emily De Oliveira ◽  
Shaheen E Lakhan
Keyword(s):  
Health Management ◽  
Digital Health ◽  
Health Care Systems ◽  
Well Being ◽  
Pediatric Care ◽  
Medical Mistrust ◽  
Patient Portals ◽  
Language Therapy ◽  
Adult Care ◽  
Care Systems

AbstractChildren with epilepsy often have impairments in cognitive and behavioral functioning which may hinder socio-occupational well-being as they reach adulthood. Adolescents with epilepsy have the added worry of health problems while starting the transition from family-centered pediatric care into largely autonomous adult care. If this transition is not appropriately planned and resourced, it may result in medical mistrust, nonadherence, and worsening biopsychosocial health as an adult. In recent years, there has been increased availability of digital health solutions that may be used during this stark change in care and treating teams. The digital health landscape includes a wide variety of technologies meant to address challenges faced by patients, caregivers, medical professionals, and health care systems. These technologies include mobile health products and wearable devices (e.g., seizure monitors and trackers, smartphone passive data collection), digital therapeutics (e.g., cognitive/behavioral health management; digital speech–language therapy), telehealth services (e.g., teleneurology visits), and health information technology (e.g., electronic medical records with patient portals). Such digital health solutions may empower patients in their journey toward optimal brain health during the vulnerable period of pediatric to adult care transition. Further research is needed to validate and measure their impact on clinical outcomes, health economics, and quality of life.

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