Relevant bibliographies by topics / Microprocessor-based prognostic and diagnostic system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Microprocessor-based prognostic and diagnostic system'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Microprocessor-based prognostic and diagnostic system"

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Su, Yan, Hongcai Chen, Chenxuan Gu, Xiangyu Xing, and Xuerui Liang. "Aircraft System State Recognition and Fault Prediction Based on a Test Diagnostic Model." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1757-899x/1207/1/012025.

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Abstract The existing testability models for fault prognosis of aircraft systems limit the implementation of prognosis and health management systems. This paper develops a test diagnosis modeling method and relevant algorithms to support dynamic testing and to evaluate fault prognostic ability during aircraft system design. According to the system principles and the complex function structure of aircraft systems, a test diagnostic model is established by integrating testing and prognostic information with a test diagnostic skeleton model using multi-signal flow. New test indexes are identified
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Goh, Yeh Huann. "Data-driven system prognostics and diagnostics for SMT component placement machines." HKIE Transactions 30, no. 1 (2023): 116–23. http://dx.doi.org/10.33430/v30n1thie-2022-0047.

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Prognostic-based maintenance analyses past events and predicts the future state of a machine based on the understanding of the degradation function of the machine’s components. Diagnostics-based maintenance tests equipment according to a fixed routine for a machine’s proper functioning and reliability. Current Surface-mount Technology (SMT) machines are not equipped with self-prognostic and diagnostic functions. In this paper, a system prognostic and diagnostic method is proposed, implemented in software, for estimating a machine’s health condition and faulty components of a SMT component plac
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Tanwar, Monika, Hyunseok Park, and Nagarajan Raghavan. "Multistate Diagnosis and Prognosis of Lubricating Oil Degradation Using Sticky Hierarchical Dirichlet Process–Hidden Markov Model Framework." Applied Sciences 11, no. 14 (2021): 6603. http://dx.doi.org/10.3390/app11146603.

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In this study, we present a state-based diagnostic and prognostic methodology for lubricating oil degradation based on a nonparametric Bayesian approach, i.e., sticky hierarchical Dirichlet process–hidden Markov model (HDP-HMM). An accurate health state-space assessment for diagnostics and prognostics has always been unobservable and hypothetical in the past. The lubrication condition monitoring (LCM) data is generally segregated as “healthy or unhealthy”, representing a binary state-based perspective to the problem. This two-state performance-based formulation poses limitations to the precisi
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Kato, Kikuya, Mitsuaki Shirahata, Yoshitaka Narita, Yoshihiro Muragaki, Motohiko Maruno, and Ryo Matoba. "Validation of a gene expression-based diagnostic system for malignancy of glioma by multi-institute prospective-retrospective analysis." Journal of Clinical Oncology 31, no. 15_suppl (2013): 2066. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.2066.

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2066 Background: Histopathological classification of gliomas is often clinically inadequate due to the diversity of tumors that fall within the same class. Based on the strong correlation between malignancy and gene expression profile in gliomas, we constructed a diagnostic system based on gene expression profiling of 152 glioma samples (Shirahata et al., Cancer Sci, 2009, 100, 165). The diagnostic system was converted to that based on expression value of 27 genes measured with real-time PCR (Kawarazaki et al., BMC Med Genomics, 2010, 3, 52). Methods: First, the diagnostic system was validated
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Zhou, Jun, Xiang Cui, Feifei Xiao, and Guoshuai Cai. "A Cluster-Based Approach for Identifying Prognostic microRNA Signatures in Digestive System Cancers." International Journal of Molecular Sciences 22, no. 4 (2021): 1529. http://dx.doi.org/10.3390/ijms22041529.

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Cancer remains the second leading cause of death all over the world. Aberrant expression of miRNA has shown diagnostic and prognostic value in many kinds of cancer. This study aims to provide a novel strategy to identify reliable miRNA signatures and develop improved cancer prognostic models from reported cancer-associated miRNAs. We proposed a new cluster-based approach to identify distinct cluster(s) of cancers and corresponding miRNAs. Further, with samples from TCGA and other independent studies, we identified prognostic markers and validated their prognostic value in prediction models. We
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Wang, Chun Jian, Yong Zhi Liu, and Hong Jun Fan. "The PHM Research of Vessels Equipment Based on Condition." Advanced Materials Research 605-607 (December 2012): 750–55. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.750.

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For a long time, the monitor and maintain of navy Vessels equipment is based on the traditional maintain theories and plan maintain. But with the development of electronical and digitization, this kind of traditional mode is more and more hard to satisfy the maintaining need of Vessels equipment, and restrict the formation and exaltation of troops fighting strength. Currently the technologies of fault prognostics and integrated health management are becoming regarded, especially on many Vessels equipment systems. The information about abnormal situation of Vessels equipment was received and es
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Lai, Chun-hui, Xu-zhi Liang, Xiu-yun Liang, et al. "Study on miRNAs in Pan-Cancer of the Digestive Tract Based on the Illumina HiSeq System Data Sequencing." BioMed Research International 2019 (October 16, 2019): 1–24. http://dx.doi.org/10.1155/2019/8016120.

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Objective. miRNA has gained attention as a therapeutic target in various malignancies. The proposal of this study was to investigate the biological functions of key miRNAs and target genes in cancers of the digestive tract which include esophageal carcinoma (ESCA), gastric adenocarcinoma (GAC), colon adenocarcinoma (COAD), and rectal adenocarcinoma (READ). Materials and Methods. After screening differentially expressed miRNAs (DEMIs) and differentially expressed mRNAs (DEMs) in four digestive cancers from The Cancer Genome Atlas (TCGA) database, the diagnostic value of above DEMIs was evaluate
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Tang, Yunliang, Cheng Qing, Jiao Wang, and Zhenguo Zeng. "DNA Methylation-based Diagnostic and Prognostic Biomarkers for Glioblastoma." Cell Transplantation 29 (January 1, 2020): 096368972093324. http://dx.doi.org/10.1177/0963689720933241.

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Glioblastomas are the most common primary central nervous system malignancy tumor in adults. Glioblastoma patients have poor prognosis, with an average survival period of approximately 14 mo after diagnosis. To date, there are a limited number of effective treatment methods for glioblastoma, and its molecular mechanisms remain elusive. In this article, we analyzed the key biomarkers and pathways in glioblastoma patients based on gene expression and DNA methylation datasets. The 60 hypomethylated/upregulated genes and 110 hypermethylated/downregulated genes were identified in GSE50923, GSE50161
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Nazaralieva, E. T., V. S. Fedorov, Yu M. Zabrodskaya, et al. "Heat shock proteins as diagnostic and prognostic markers in malignant tumors of the central nervous system." Translational Medicine 9, no. 6 (2023): 5–15. http://dx.doi.org/10.18705/2311-4495-2022-9-6-5-15.

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This review overview current epidemiology data of malignant tumors of the central nervous system, and determines the significance of molecular diagnostics and expression of heat shock proteins in tumorigenesis. Particular attention is paid to the description of molecular chaperones as diagnostic and prognostic markers, as well as the prospects for chaperones using in personalized therapy the central nervous system tumors. The search for literature was carried out on the database platforms Medline (via PubMed) and Scopus, Cochrane Library, The Lancet Public Health Journal published between 1988
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Keizers, Luc, Richard Loendersloot, and Tiedo Tinga. "Towards a Hybrid Framework for Prognostics with Limited Run-to-Failure Data." PHM Society European Conference 8, no. 1 (2024): 12. http://dx.doi.org/10.36001/phme.2024.v8i1.4017.

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The introduction of cyber-physical systems with increased availability of sensor data creates a lot of research interest in prognostic algorithms for predictive maintenance. Although a lot of algorithms are successfully applied to benchmark case studies based on simulated data and experimental set-ups, deploymentin industry lags behind. From a comparison between three benchmark case studies with two real-world case studies based on prognostic metrics (monotonicity, prognosability and trendability), two main issues are observed: 1) the lack of run-to-failures and 2) low prognostic metrics due t
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Dissertations / Theses on the topic "Microprocessor-based prognostic and diagnostic system"

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Нагорний, Володимир В`ячеславович, Владимир Вячеславович Нагорный та Volodymyr Viacheslavovych Nahornyi. "Контроль динамического поведения металлообрабатывающих технологических систем и метод определения их ресурса". Thesis, Изд-во СумГУ, 2015. http://essuir.sumdu.edu.ua/handle/123456789/42598.

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Робота присвячена актуальній проблемі розвитку методів контролю динамічної поведінки металообробних технологічних систем та розробки методу визначення їх ресурсу. У роботі вперше поставлене і вирішене науково-технічне завдання визначення ресурсу обробної системи безпосередньо в процесі її роботи в умовах, коли «Норми…» , яки регламентують ступінь критичності динамічної поведінки для даних систем, відсутні. Це завдання вирішене за рахунок того, що розроблена у роботі прогнозна модель вигідно відрізняється від прийнятих тим, що ресурс, який шукається, включено до її математичної структури і в
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Kumar, Sachin. "Development of diagnostic and prognostic methodologies for electronic systems based on Mahalanobis distance." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9921.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Reliability Engineering Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Isaksson, Olle. "Model-based Diagnosis of a Satellite Electrical Power System with RODON." Thesis, Linköping University, Linköping University, Vehicular Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16763.

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<p>As space exploration vehicles travel deeper into space, their distance to earth increases.The increased communication delays and ground personnel costs motivatea migration of the vehicle health management into space. A way to achieve thisis to use a diagnosis system. A diagnosis system uses sensor readings to automaticallydetect faults and possibly locate the cause of it. The diagnosis system usedin this thesis is a model-based reasoning tool called RODON developed by UptimeSolutions AB. RODON uses information of both nominal and faulty behavior ofthe target system mathematically formulated
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KOTHAMASU, RANGANATH. "INTELLIGENT CONDITION BASED MAINTENANCE - A SOFT COMPUTING APPROACH TO SYSTEM DIAGNOSIS AND PROGNOSIS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1141339344.

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Krupa, Miroslav. "Metody technické prognostiky aplikovatelné v embedded systémech." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233568.

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Hlavní cílem dizertace je poskytnutí uceleného pohledu na problematiku technické prognostiky, která nachází uplatnění v tzv. prediktivní údržbě založené na trvalém monitorování zařízení a odhadu úrovně degradace systému či jeho zbývající životnosti a to zejména v oblasti komplexních zařízení a strojů. V současnosti je technická diagnostika poměrně dobře zmapovaná a reálně nasazená na rozdíl od technické prognostiky, která je stále rozvíjejícím se oborem, který ovšem postrádá větší množství reálných aplikaci a navíc ne všechny metody jsou dostatečně přesné a aplikovatelné pro embedded systémy.
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Patrick-Aldaco, Romano. "A Model Based Framework for Fault Diagnosis and Prognosis of Dynamical Systems with an Application to Helicopter Transmissions." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16266.

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The thesis presents a framework for integrating models, simulation, and experimental data to diagnose incipient failure modes and prognosticate the remaining useful life of critical components, with an application to the main transmission of a helicopter. Although the helicopter example is used to illustrate the methodology presented, by appropriately adapting modules, the architecture can be applied to a variety of similar engineering systems. Models of the kind referenced are commonly referred to in the literature as physical or physics-based models. Such models utilize a mathematical descr
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Saha, Bhaskar. "A model-based reasoning architecture for system-level fault diagnosis." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22653.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Vachtsevanos, George; Committee Member: Liang, Steven; Committee Member: Michaels, Thomas; Committee Member: Vela, Patricio; Committee Member: Wardi, Yorai.
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Brown, Douglas W. "A prognostic health management based framework for fault-tolerant control." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41132.

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The emergence of complex and autonomous systems, such as modern aircraft, unmanned aerial vehicles (UAVs) and automated industrial processes is driving the development and implementation of new control technologies aimed at accommodating incipient failures to maintain system operation during an emergency. The motivation for this research began in the area of avionics and flight control systems for the purpose to improve aircraft safety. A prognostics health management (PHM) based fault-tolerant control architecture can increase safety and reliability by detecting and accommodating impending fa
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Kothamasu, Ranganath. "Intelligent condition based maintenance a soft computing approach to system diagnosis and prognosis /." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1141339344.

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Thesis (Ph. D.)--University of Cincinnati, 2005.<br>Title from electronic thesis title page (viewed Apr. 13, 2006). Includes abstract. Keywords: Condition Based Maintenance, Model based maintenance, Neuro-Fuzzy, Backpropagation, Information Entropy, Model selection. Includes bibliographical references.
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Davari, Ardakani Hossein. "Prognostics and Health Management of Engineering Systems Using Minimal Sensing Techniques." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1467987980.

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Books on the topic "Microprocessor-based prognostic and diagnostic system"

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Cuthbert, Bruce N. The Nimh Research Domain Criteria Project. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0071.

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The Research Domain Criteria (RDoC) project grew from recognized deficiencies in currently used diagnostic schemes for mental illness, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM). While the latter is based on a series of signs and symptoms of illnesses that can co-occur in groups of individuals, without consideration of underlying biological factors, RDoC is based on the increasing ability to relate normal as well as abnormal behavior to particular molecules and circuits in the brain across animal species and humans. Behavioral domains include negative valence syste
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Gill, Harminder S., and Jaswinder S. Gill. Causes, diagnosis, and therapeutic strategy in bradyarrhythmias. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0157.

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Bradyarrhythmias (defined as a heart rate &lt;60 beat/min) occur frequently in the critical care setting. Most are related to underlying disease processes and the multidrug therapies administered. Because of the intense monitoring of these patients, recognition is generally easy. Examination of the ECG will allow diagnosis of the type of bradycardia based on the sinus node, atrioventricular node and the infra-Hissian conducting system. The extent of conduction system disease can be estimated and this has an influence on the prognosis. Bradycardias causing haemodynamic collapse require treatmen
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Cárdenas, Andrés, and Pere Ginès. The patient with hepatorenal syndrome. Edited by Giuseppe Remuzzi. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0169_update_001.

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Hepatorenal syndrome (HRS) is a dreaded and common complication of patients with end-stage liver disease. The syndrome is characterized by functional renal failure due to renal vasoconstriction in the absence of underlying kidney pathology. The pathogenesis of HRS is the result of an extreme underfilling of the arterial circulation secondary to an arterial vasodilation located in the splanchnic circulation. This phenomenon triggers a compensatory response with activation of vasoconstrictor systems leading to intense renal vasoconstriction.Besides HRS, there are several other causes of renal fa
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Prowle, John, and Rinaldo Bellomo. Acute kidney injury in severe sepsis. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0244_update_001.

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Septic acute kidney injury (S-AKI) accounts for close to 50% of all cases of AKI in ICU and, in its various forms, affects between 15% and 20% of ICU patients. Patients typically present with clinical evidence of severe sepsis and septic shock, developing oliguria or anuria, and rapidly rising serum creatinine concentration. The pathophysiology of S-AKI is poorly understood. Although haemodynamic factors might play a role in the loss of glomerular filtration rate, this may not be through the induction of renal ischaemia. Inflammation, microvascular shunting, and changes in glomerular arteriola
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Book chapters on the topic "Microprocessor-based prognostic and diagnostic system"

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Garvey, Dustin R., and J. Wesley Hines. "An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance." In Foundations of Generic Optimization. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6668-9_5.

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Ganeriwala, Suri, and Nader Sawalhi. "Numerical and Experimental Dynamic System Identification for the Development of Operational Modal Analysis in a Physics-Based Diagnostic/Prognostic Model." In Topics in Modal Analysis I, Volume 7. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04753-9_14.

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Del Rio, Mauro, Luca Lianas, Oskar Aspegren, et al. "AI Support for Accelerating Histopathological Slide Examinations of Prostate Cancer in Clinical Studies." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13321-3_48.

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AbstractWhile studies in pathology are essential for the progress in the diagnostic and prognostic techniques in the field, pathologist time is becoming an increasingly scarce resource, and can indeed become the limiting factor in the feasibility of studies to be performed. In this work, we demonstrate how the Digital Pathology platform by CRS4, for supporting research studies in digital pathology, has been augmented by the addition of AI-based features to accelerate image examination to reduce the pathologist time required for clinical studies. The platform has been extended to provide comput
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Milan, Lisa. "Artificial Intelligence and Machine Learning in Integrated Diagnostic." In Integrated Diagnostics and Theranostics of Thyroid Diseases. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35213-3_2.

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AbstractArtificial intelligence (AI) and machine learning (ML) in the medical field have the potential to revolutionize the way in which diseases are detected and treated. Exploiting advanced algorithms and techniques, AI-based systems can analyze a very large amount of medical data and identify patterns that may not be detectable to human experts. This can lead to more accurate and efficient diagnoses, as well as the development of new diagnostic/prognostic methods. Integrated diagnostics combines multiple diagnostic modalities and data sources to provide a more comprehensive understanding of
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Braun, Christopher, and Marco F. Huber. "Hybrid AI-Driven Advances in Prognostics and Health Management Within Manufacturing Environments." In New Digital Work II. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69994-8_7.

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Abstract Industry 4.0 will benefit significantly from the ongoing advancements in artificial intelligence, particularly with regard to predictive maintenance. By continuously monitoring and analysing real-time data of a system, proactive maintenance actions can be taken before any major issues arise. Incorporating prognostics and health management allows for assessing the health of a system and predicting its future state based on current operating conditions. However, a major challenge in health modelling within manufacturing environments is modelling systems that are experiencing trend-based
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Borutzky, Wolfgang. "Failure Prognosis for Hybrid Systems Based on ARR Residuals." In Bond Graph Model-based Fault Diagnosis of Hybrid Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11860-4_9.

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Bam, Ramnath Prabhu, Rajesh S. Prabhu Gaonkar, and Clint Pazhayidam George. "Machine learning-based predictive maintenance for diagnostics and prognostics of engineering systems." In Intelligent Prognostics for Engineering Systems with Machine Learning Techniques. CRC Press, 2023. http://dx.doi.org/10.1201/9781003434849-12.

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Li, Weihua, Xiaoli Zhang, and Ruqiang Yan. "Manifold Learning Based Intelligent Fault Diagnosis and Prognosis." In Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3537-6_4.

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Lei, Yaguo, Naipeng Li, and Xiang Li. "Deep Transfer Learning-Based Intelligent Fault Diagnosis." In Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9131-7_4.

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Li, Weihua, Xiaoli Zhang, and Ruqiang Yan. "Phase Space Reconstruction Based on Machinery System Degradation Tracking and Fault Prognostics." In Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3537-6_6.

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Conference papers on the topic "Microprocessor-based prognostic and diagnostic system"

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LeFevre, Brian, Treven Baker, Jason Friel, and Nicholos Mackos. "Propulsion System Diagnostic and Reasoning Technology Development." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9537.

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The Sikorsky Aircraft Corporation (SAC) and the U.S. Army Aviation Development Directorate (ADD) Aviation Applied Technology Directorate (AATD) are jointly sponsoring the Capability-Based Operations and Sustainment Technology-Aviation (COST-A) project. The objective of COST-A is to demonstrate an integrated set of high-value diagnostics, prognostics, and system health management technologies that reduce the maintenance burden imposed by the Army's rotorcraft fleet, while at the same time preserving safety and reliability. The program was divided into six different primary technical focus areas
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Nickerson, G. William, and Richard W. Lally. "An Intelligent Component Health Monitoring System: A Building Block for a Distributed Approach to Machinery Health Assessment." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1273.

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Abstract A transition to condition-based maintenance in military and commercial applications is critical for economic survival. Technology to enable a robust diagnostic and prognostic capability for machinery health assessment is necessary to make the transition and is rapidly evolving. An opportunity exists to step to the next plateau in machinery health assessment by distributing the conversion of data to information at the lowest possible level in the system hierarchy. This paper describes an approach to decompose plants and platforms into a hierarchy of building blocks and architecture for
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Clark, Brandi, Ryan Meekins, Jacob Wright, Liam Agnew, and Fritz Friedersdorf. "Measurement and Prediction of Aerospace Corrosion Rate Using Real-Time Sensor Measurements and Machine Learning Approaches." In CORROSION 2020. NACE International, 2020. https://doi.org/10.5006/c2020-14884.

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Abstract Corrosion represents a significant cost driver for the Department of Defense, with an estimated total annual cost of corrosion for aviation and missiles of $10.2 billion, or 24.3% of maintenance expenditures. To more effectively combat corrosion, accurate diagnostics and prognostics for cumulative corrosion damage based on corrosivity and environmental conditions are needed. Current schedule-based maintenance practices may be unnecessarily conservative, leading to reduced availability and increased demand on maintenance personnel. Schedule-based practices may also miss unexpectedly ag
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Martin, Dana K., and Joe Van Dyke. "Integrating Vibration, Motor Current, and Wear Particle Analysis With Machine Operating State for On-Line Machinery Prognostics/Diagnostics Systems (MPROS)." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1272.

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Abstract Integration of system process information with expert system vibration analysis to improve the accuracy of rotating machinery fault detection in on-line condition monitoring systems is the main focus of this paper. An overview of the condition based maintenance system MPROS (Machinery Prognostics/Diagnostics System) being developed for the US Navy is presented. Details are provided regarding several currently operating prototype systems installed on both shipboard and land based air conditioning plants. Finally a case study is presented which utilizes data from a prototype system to e
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Sheldon, Jeremy, David Kasper, and Mark Davis. "A Multilayered Approach for Enhancing Rotorcraft Drive System Diagnostics." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9530.

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The Sikorsky Aircraft Corporation (SAC) and the U.S. Army Aviation Development Directorate (ADD) - Aviation Applied Technology Directorate (AATD) are jointly sponsoring the Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program. The objective of COST-A is to demonstrate an integrated set of high-value diagnostics, prognostics, and system health management technologies that reduce the maintenance burden, without sacrificing safety, of six different rotorcraft systems, including the drivetrain. In general, existing rotorcraft health and usage monitoring systems (HUMS) s
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Smith, Matthew, Jason Friel, and Jared Kloda. "Hydraulic System Internal and External Leakage Diagnostics." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9538.

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The Sikorsky Aircraft Corporation and the U.S. Army Aviation Development Directorate - Aviation Applied Technology Directorate (ADD-AATD) are jointly sponsoring the Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program. The objective of COST-A is to demonstrate an integrated set of high-value diagnostics, prognostics, and system health management technologies that reduce the maintenance burden, without sacrificing safety, of six different rotorcraft systems. The major goals of the COST-A vehicle management system (VMS) effort include developing diagnostics for assess
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McDowell, D. L., R. W. Neu, J. Qu, and A. Saxena. "Prognostic Tools for Small Cracks in Structures." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1264.

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Abstract An integrated system for diagnosis of the “health” of a structural component subjected to high cycle fatigue (HCF) consists of sets of embedded or emplaced sensors at various locations, extracting information related to generation of material defects, presence of crack-like discontinuities and their progression, and changes of system dynamics which may relate to this progression. Conceptually, signals from these sensors are fed into a processing environment that can ascertain deleterious conditions related to the onset of loss of function or propagation of cracks to critical dimension
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Davis, Mark, Matt Smith, Roberto Sarjeant, et al. "Rotor Load and Health Monitoring Sensor Technology." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10191.

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The Sikorsky Aircraft Corporation and the U.S. Army Aviation Development Directorate - Aviation Applied Technology Directorate jointly sponsored the Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program. The objective of COST-A was to develop and demonstrate an integrated set of high-value diagnostics, prognostics, and system health management technologies for six different rotorcraft systems with a focus on reduced maintenance burden without sacrificing safety. One focus of the COST-A program was the rotor system because of the maintenance associated with life limit
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9

Jaw, Link C., and William Wang. "Mathematical Formulation of Model-Based Methods for Diagnostics and Prognostics." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90655.

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System health management capability strives to estimate the current and the future operating states of the system through continuous monitoring of key operating variables. Once the current and future states are estimated, this information will be used to help the dispatcher (or field commander) better respond to anticipated fault conditions, it will also help the logistician (or support crew) better prepare for maintenance actions. Estimating the current and the future operating states are commonly referred to as the diagnostic and the prognostic problems. Diagnostic and prognostic problems ca
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Saeidi, M., M. Soufian, A. Elkurdi, and S. Nefti-Meziani. "A Jet Engine Prognostic and Diagnostic System Based on Bayesian Classifier." In 2019 12th International Conference on Developments in eSystems Engineering (DeSE). IEEE, 2019. http://dx.doi.org/10.1109/dese.2019.00181.

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Reports on the topic "Microprocessor-based prognostic and diagnostic system"

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Byington, Carl S., Michael J. Roemer, Gregory J. Kacprzynski, and Thomas Galie. Prognostic Enhancements to Diagnostic Systems for Improved Condition-Based Maintenance. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408880.

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Khatri, Hiralal, Kenneth Ranney, Kwok Tom, and Romeo del Rosario. Empirical Mode Decomposition Based Features for Diagnosis and Prognostics of Systems. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada486738.

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