scholarly journals A prognostic framework for health management of coupled systems

Author(s):  
Chaitanya Sankavaram ◽  
Anuradha Kodali ◽  
Krishna Pattipati ◽  
Bing Wang ◽  
Mohammad S. Azam ◽  
...  
Author(s):  
Sheridon Haye

This paper summarizes a data fusion approach for utilizing conventional lubrication parameters in an unconventional method for identifying deterioration in a thermally coupled system. Complex machines are composed of multiple systems that are intrinsically dependent. Design of these systems requires expertise in distinct disciplines with a determined focus on meeting system-specific requirements. This expertise focused approach promotes a silo mindset to system design, which is then carried through to the design and implementation of the health management system of these machines. These multidisciplinary interacting systems are traditionally monitored as independent entities, with little advantage taken of the direct and cross-coupled effects. For example, parameters required for lubrication health monitoring include, but are not limited to, oil pressure and temperature. These parameters are critical in determining the health of the lubrication system. However, how these parameters change can be an indicative of the health of interacting systems otherwise considered independent and isolated. By exploring the rationale of the cross-system impacts, physical interactions between these systems (albeit empirical knowledge) can be used for cross-system monitoring. A means of achieving this objective is to utilize parameters that are measured in one system to determine the diagnostic state of another coupled system with limited, or no, system observability. A fuzzy logic fusion approach is employed in this task and was designed and implemented for the above-mentioned purpose. The focus of interest was on the lubrication and hot section interactions with parameters obtained from real machines. Fuzzy membership functions and rules were determined and tuned appropriately from real data and applied to nominal and defective machines.


2010 ◽  
Vol 58 (3) ◽  
pp. 199-206 ◽  
Author(s):  
Rosina-Martha Csöff ◽  
Gloria Macassa ◽  
Jutta Lindert

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.


2018 ◽  
Vol 73 (4) ◽  
pp. 491-503 ◽  
Author(s):  
Matthias Spitzmuller ◽  
Guihyun Park

2006 ◽  
Author(s):  
Lisa A. Orban ◽  
Renee Stein ◽  
Linda J. Koenig ◽  
Erika L. Rexhouse ◽  
Ricardo D. Lagrange ◽  
...  

2011 ◽  
Vol 39 (02) ◽  
pp. 95-100
Author(s):  
J. C. van Veersen ◽  
O. Sampimon ◽  
R. G. Olde Riekerink ◽  
T. J. G. Lam

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.


2020 ◽  
Vol 09 (04) ◽  
pp. 106-113
Author(s):  
Ysabeau Bernard-Willis ◽  
Emily De Oliveira ◽  
Shaheen E Lakhan

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.


2019 ◽  
Vol 19 (1) ◽  
pp. 68-84 ◽  
Author(s):  
Hyun Su Sim ◽  
Jun-Gyu Kang ◽  
Yong Soo Kim

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