Prognostics and Health Management of Industrial Equipment

ISBN13: 9781466620957Prognostics and health management (PHM) is a field of research and application which aims at making use of past, present and future information on the environmental, operational and usage conditions of an equipment in order to detect its degradation, diagnose its faults, predict and proactively manage its failures. The present paper reviews the state of knowledge on the methods for PHM, placing these in context with the different information and data which may be available for performing the task and identifying the current challenges and open issues which must be addressed for achieving reliable deployment in practice. The focus is predominantly on the prognostic part of PHM, which addresses the prediction of equipment failure occurrence and associated residual useful life (RUL)

Relationship Between Cognitive Distortions and Psychological and Behavioral Factors in a Family Medicine Outpatient Sample

The purpose of this study was to investigate the relationship between the frequency of cognitive distortions, as measured by the Inventory of Cognitive Distortions (ICD), and psychological and behavioral factors, as measured by the Millon Behavioral Medicine Diagnostic (MBMD), which includes negative health habits, psychiatric indications, coping styles, stress moderators, treatment prognostics, and management guide. The sample was selected from a heterogeneous adult family practice outpatient population. Participants meeting inclusion criteria presented for medical treatment or routine physical examinations. Results supported the reliability and validity of the lCD as an instrument measuring cognitive distortions. Cronbach\u27s Alpha for the Total ICD scale was .97, indicating excellent internal consistency and homogeneity of item content. The ICD proved to be an excellent measure for uncovering relationships between distorted thinking and psychological and behavioral health risks as measured by the MBMD. Of the 34 hypotheses in this study, 29 hypotheses demonstrated significant positive findings. Suggestions for future research and implication of the work are discussed

The Relationship between Cognitive Distortions and Psychological and Behavioral Factors in a Sample of Individuals who are Average Weight, Overweight, and Obese

The current study was designed to investigate the relationship between the frequency of cognitive distortions, as measured by the Inventory of Cognitive Distortions (ICD), and psychological and behavioral factors, as measured by the Millon Behavioral Medicine Diagnostic (MBMD), which includes negative health habits, psychiatric indications, and treatment prognostics among a sample of individuals who were average weight, who were overweight, and who were obese. The sample of 385 men and women was recruited primarily from a health and fitness center. The results of this study indicated that negative health risk behaviors such as inactivity and overeating, as well as depression were associated with increased obesity rates. The findings of this study did not suggest that individuals who are obese engage in higher levels of distorted thinking. Instead, the results confirmed previous research indicating that there was a relationship between the frequency of cognitive distortions and psychological and behavioral factors, such as negative health habits, psychiatric indications, and treatment prognostics. It is possible that distorted thinking impacts individuals’ abilities to manage psychological problems and behavioral problems, which, in turn, impact the course of medical conditions such as obesity. Gaining further evidence that there is a strong relationship between cognitive distortions and psychological and behavioral factors that impact medical conditions and influence the course of treatment lends support for the utilization of cognitive behavioral treatments in medical settings. Utilization of tailored cognitive behavioral interventions in medical settings may produce more successful management of mental and physical health conditions, resulting in more positive treatment outcomes, decreased rates of morbidity and mortality, and reduced health care costs

2020 NASA Technology Taxonomy

This document is an update (new photos used) of the PDF version of the 2020 NASA Technology Taxonomy that will be available to download on the OCT Public Website. The updated 2020 NASA Technology Taxonomy, or "technology dictionary", uses a technology discipline based approach that realigns like-technologies independent of their application within the NASA mission portfolio. This tool is meant to serve as a common technology discipline-based communication tool across the agency and with its partners in other government agencies, academia, industry, and across the world

Covid19/IT the digital side of Covid19: A picture from Italy with clustering and taxonomy

The Covid19 pandemic has significantly impacted on our lives, triggering a strong reaction resulting in vaccines, more effective diagnoses and therapies, policies to contain the pandemic outbreak, to name but a few. A significant contribution to their success comes from the computer science and information technology communities, both in support to other disciplines and as the primary driver of solutions for, e.g., diagnostics, social distancing, and contact tracing. In this work, we surveyed the Italian computer science and engineering community initiatives against the Covid19 pandemic. The 128 responses thus collected document the response of such a community during the first pandemic wave in Italy (February-May 2020), through several initiatives carried out by both single researchers and research groups able to promptly react to Covid19, even remotely. The data obtained by the survey are here reported, discussed and further investigated by Natural Language Processing techniques, to generate semantic clusters based on embedding representations of the surveyed activity descriptions. The resulting clusters have been then used to extend an existing Covid19 taxonomy with the classification of related research activities in computer science and information technology areas, summarizing this work contribution through a reproducible survey-to-taxonomy methodology

2020 NASA Technology Taxonomy: 2015 Technology Areas to 2020 Taxonomy Areas Crosswalk

To help users of the 2020 Taxonomy navigate changes from the 2015 Technology Area Breakdown Structure (TABS), this companion document provides a crosswalk between the 2015 Technology Areas (TAs) and the updated 2020 Taxonomy areas (TXs)

Personality Correlates of Spinal Stimulation Surgery Success

The current paper examines personality factors of individuals who received an electrical pain intervention called spinal stimulation surgery. The patients suffered from chronic pain and sought a number of medical interventions before being recommended for this advanced surgical procedure. The research suggests that there are a number of personality factors that are related to success and failure with a number of medical procedures. The research on personality factors and spinal stimulation surgery, particularly research using an updated behavioral health inventory, is limited and inconclusive. The Millon Behavioral Medicine Diagnostic is a valid and reliable behavioral health instrument that provides additional information regarding patient coping styles, psychiatric indicators, health behaviors, and treatment prognostics. The focus of this investigation was to develop a prototypical profile of a chronic pain patient using the Millon Behavioral Medicine Diagnostic as well as to determine what personality variables are related to success with spinal stimulation surgery. Two one-way MANOVAs and other statistical techniques were conducted and revealed no significant differences between success and failure groups on the dependent variables of interest

System level airborne avionics prognostics for maintenance, repair and overhaul

The aim of this study is to propose an alternative approach in prognostics for airborne avionics system in order to enhance maintenance process and aircraft availability. The objectives are to analyse the dependency of avionic systems for fault propagation behaviour degradation, research and develop methods to predict the remaining useful life of avionics Line Replaceable Units (LRU), research and develop methods to evaluate and predict the degradation performances of avionic systems, and lastly to develop software simulation systems to evaluate methods developed. One of the many stakeholders in the aircraft lifecycle includes the Maintenance, Repair and Overhaul (MRO) industry. The predictable logistics process to some degree as an outcome of IVHM gives benefit to the MRO industry. In this thesis, a new integrated numerical methodology called ‘System Level Airborne Avionic Prognostics’ or SLAAP is developed; looking at a top level solution in prognostics. Overall, this research consists of two main elements. One is to thoroughly understand and analyse data that could be utilised. Secondly, is to apply the developed methodology using the enhanced prognostic methodology. Readily available fault tree data is used to analyse the dependencies of each component within the LRUs, and performance were simulated using the linear Markov Model to estimate the time to failure. A hybrid approach prognostics model is then integrated with the prognostics measures that include environmental factors that contribute to the failure of a system, such as temperature. This research attempts to use data that is closest to the data available in the maintenance repair and overhaul industry. Based on a case study on Enhanced Ground Proximity Warning System (EGPWS), the prognostics methodology developed showed a sufficiently close approximation to the Mean Time Before Failure (MTBF) data supplied by the Original Equipment Manufacturer (OEM). This validation gives confidence that the proposed methodology will achieve its objectives and it should be further developed for use in the systems design process

System level airborne avionics prognostics for maintenance, repair and overhaul

The aim of this study is to propose an alternative approach in prognostics for airborne avionics system in order to enhance maintenance process and aircraft availability. The objectives are to analyse the dependency of avionic systems for fault propagation behaviour degradation, research and develop methods to predict the remaining useful life of avionics Line Replaceable Units (LRU), research and develop methods to evaluate and predict the degradation performances of avionic systems, and lastly to develop software simulation systems to evaluate methods developed. One of the many stakeholders in the aircraft lifecycle includes the Maintenance, Repair and Overhaul (MRO) industry. The predictable logistics process to some degree as an outcome of IVHM gives benefit to the MRO industry. In this thesis, a new integrated numerical methodology called ‘System Level Airborne Avionic Prognostics’ or SLAAP is developed; looking at a top level solution in prognostics. Overall, this research consists of two main elements. One is to thoroughly understand and analyse data that could be utilised. Secondly, is to apply the developed methodology using the enhanced prognostic methodology. Readily available fault tree data is used to analyse the dependencies of each component within the LRUs, and performance were simulated using the linear Markov Model to estimate the time to failure. A hybrid approach prognostics model is then integrated with the prognostics measures that include environmental factors that contribute to the failure of a system, such as temperature. This research attempts to use data that is closest to the data available in the maintenance repair and overhaul industry. Based on a case study on Enhanced Ground Proximity Warning System (EGPWS), the prognostics methodology developed showed a sufficiently close approximation to the Mean Time Before Failure (MTBF) data supplied by the Original Equipment Manufacturer (OEM). This validation gives confidence that the proposed methodology will achieve its objectives and it should be further developed for use in the systems design process