The Uncertainty Analysis of Health Management Strategies for Aero-Engines

2012 ◽  
Vol 201-202 ◽  
pp. 34-38
Author(s):  
Zhen Hua Wen ◽  
Xin Yin ◽  
Yuan Peng Liu
Keyword(s):  
Health Management ◽  
Management Strategies ◽  
Flight Safety ◽  
Diagnosis And Prognosis ◽  
Uncertainty Sources ◽  
Information Monitoring ◽  
Aero Engine ◽  
Aero Engines ◽  
Fault Diagnosis And Prognosis ◽  
Total Life

The Aero-Engine Is the Heart of an Aircraft and Critical to the Flight Safety and Economy, Health Management in Total Life Cycle for Aero-Engines Is an Effective Way and Is Popularly Employed to Balance the Economy and Safety. however, it Is Difficult to Make Appropriate Health Management Strategies for a Complex System, such as Aero-Engines. Firstly the Uncertainty Source of Fault Diagnosis and Prognosis System Is Explored. then the Primary Uncertainty Sources Including Condition Information, Monitoring and Detection Approaches, Signal Detection, Remaining Lifetime Prediction and Maintenance Strategy-Making, Are Analyzed in this Context. the Corresponding Tactics for Reducing Uncertainty Are Proposed in the Paper, which Provides Essential References for Assisting the Design for Health Management System.

Testability Design of the PHM System for Aero-Engines

2012 ◽  
Vol 544 ◽  
pp. 94-98
Author(s):  
Zhen Hua Wen ◽  
Yuan Peng Liu ◽  
Xin Yin
Keyword(s):  
Life Cycle ◽  
Health Management ◽  
Management Strategies ◽  
Prognostics And Health Management ◽  
Technical Approach ◽  
Test Program ◽  
Fusion Methods ◽  
Aero Engines ◽  
Total Life ◽  
Monitoring Information

PHM (Prognostics and Health Management) for Aero-engines is an effective technical approach to balance the economy and safety of the flight in the total life cycle. In this paper, we mainly analyze the popular issues in the process of designing PHM system for aero-engines including the testability design concept, the scheme of condition monitoring and the utilization extent of condition information. Then presents some useful solutions and advices for the testability design respectively; and analyzes the influence of testability on health management strategies and the main source of uncertainty; then propose a roadmap for making test program based on the PHM requirements and evaluating test program, for improve the utilizing degree of monitoring information, we lastly presented common data fusion methods and some typical examples is illustrated.

A Logistics Model of Total Life Cycle of Mechanical Products

2012 ◽  
Vol 248 ◽  
pp. 402-407 ◽  
Author(s):  
Liang He ◽  
Wan Lin Guo
Keyword(s):  
Life Cycle ◽  
Life Cycle Analysis ◽  
Production Capacity ◽  
Stable Production ◽  
Equivalent Quantity ◽  
Aero Engine ◽  
Mechanical Products ◽  
Aero Engines ◽  
Total Life ◽  
Production Resources

A kind of processing strategy of total life cycle of mechanical products was designed. A logistics model of total life cycle of mechanical products was established based on eight typical states of life cycle of mechanical products. The logistics analysis of total life cycle of a sort of aero-engine was carried out by using the model. The dynamic equivalent quantity of the aero-engines in different states of life cycle was obtained when times changed from the products were first put into production to the time when stable production capacity was reached. The model can also be used to predict logistics of other products rapidly. The results give references for production departments or enterprises which use life cycle methods to configure their production resources effectively and optimize production processes, and also provide a basis for further analysis of total life cycle analysis such as economic and environmental assessment.

scholarly journals Application of Nematode Community Analyses-Based Models towards Identifying Sustainable Soil Health Management Outcomes: A Review of the Concepts

Soil Systems ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Haddish Melakeberhan ◽  
Gregory Bonito ◽  
Alexandra N. Kravchenko
Keyword(s):  
Nutrient Cycling ◽  
Health Management ◽  
Management Strategies ◽  
Soil Health ◽  
Agricultural Practices ◽  
Nematode Community ◽  
Parasitic Nematodes ◽  
Worst Case ◽  
Pests And Diseases ◽  
Water Holding

Soil health connotes the balance of biological, physicochemical, nutritional, structural, and water-holding components necessary to sustain plant productivity. Despite a substantial knowledge base, achieving sustainable soil health remains a goal because it is difficult to simultaneously: (i) improve soil structure, physicochemistry, water-holding capacity, and nutrient cycling; (ii) suppress pests and diseases while increasing beneficial organisms; and (iii) improve biological functioning leading to improved biomass/crop yield. The objectives of this review are (a) to identify agricultural practices (APs) driving soil health degradations and barriers to developing sustainable soil health, and (b) to describe how the nematode community analyses-based soil food web (SFW) and fertilizer use efficiency (FUE) data visualization models can be used towards developing sustainable soil health. The SFW model considers changes in beneficial nematode population dynamics relative to food and reproduction (enrichment index, EI; y-axis) and resistance to disturbance (structure index, SI; x-axis) in order to identify best-to-worst case scenarios for nutrient cycling and agroecosystem suitability of AP-driven outcomes. The FUE model visualizes associations between beneficial and plant-parasitic nematodes (x-axis) and ecosystem services (e.g., yield or nutrients, y-axis). The x-y relationship identifies best-to-worst case scenarios of the outcomes for sustainability. Both models can serve as platforms towards developing integrated and sustainable soil health management strategies on a location-specific or a one-size-fits-all basis. Future improvements for increased implementation of these models are discussed.

scholarly journals Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 532
Author(s):  
Mohand Djeziri ◽  
Marc Bendahan
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Fault Diagnosis ◽  
Special Issue ◽  
Maintenance Strategies ◽  
Corrective Maintenance ◽  
Diagnosis And Prognosis ◽  
Machine Fault Diagnosis ◽  
Failure Prognosis ◽  
Fault Diagnosis And Prognosis

Fault diagnosis and failure prognosis aim to reduce downtime of the systems and to optimise their performance by replacing preventive and corrective maintenance strategies with predictive or conditional ones [...]

scholarly journals How to Intervene in the Health Management of the Oncological Patient and of Their Caregiver? A Narrative Review in the Psycho-Oncology Field

2021 ◽  
Vol 11 (7) ◽  
pp. 99
Author(s):  
Gian Piero Turchi ◽  
Marta Silvia Dalla Riva ◽  
Luisa Orrù ◽  
Eleonora Pinto
Keyword(s):  
Quality Of Life ◽  
Health Management ◽  
Psychological Treatment ◽  
Management Strategies ◽  
Well Being ◽  
Narrative Review ◽  
Treatment Modalities ◽  
Oncological Patient ◽  
Post Surgery

Starting from statistical data derived from the oncological field, some articles have highlighted the importance of communication in the patient–caregiver dyad and have considered the various roles involved in a cancer diagnosis situation. Thus, the question of how to intervene in terms of “quality of life” from the time of diagnosis to the recovery or death of a cancer patient, beyond the sanitary and physical dimensions, has become relevant. Therefore, the present narrative review aims to offer an overview of the state of the art in terms of the psychological treatment modalities of cancer patients, from the diagnosis to the post-surgery period. A total of 67 articles were collected and analyzed, in relation to (1) psychological constructs employed in the oncological field, (2) intervention models and (3) quality of life and well-being measurement and evaluation tools. We described these articles, differentiating between those focusing on the role of (1) the patient, (2) the caregiver, (3) the patient–caregiver dyad and (4) healthcare professional roles. The oncological diagnosis and its repercussions in the lives of the patient and caregiver were explored and critical aspects that emerged from the literature were highlighted. In conclusion, the analysis allowed some considerations about the need to define research protocols and useful management strategies for increasing the overall health of patients with cancer diagnoses and the people who surround them.

Self-Powered RFID Sensor Tag for Fault Diagnosis and Prognosis of Transformer Winding

2017 ◽  
Vol 17 (19) ◽  
pp. 6418-6430 ◽  
Author(s):  
Tao Wang ◽  
Yigang He ◽  
Qiwu Luo ◽  
Fangming Deng ◽  
Chaolong Zhang
Keyword(s):  
Fault Diagnosis ◽  
Diagnosis And Prognosis ◽  
Transformer Winding ◽  
Self Powered ◽  
Fault Diagnosis And Prognosis

scholarly journals Aero-Engine Fault Diagnosis Using Improved Local Discriminant Bases and Support Vector Machine

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jianwei Cui ◽  
Mengxiao Shan ◽  
Ruqiang Yan ◽  
Yahui Wu
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Wavelet Packet ◽  
Energy Difference ◽  
Test System ◽  
Support Vector ◽  
Svm Classifier ◽  
Aero Engine ◽  
Aero Engines ◽  
Optimal Set

This paper presents an effective approach for aero-engine fault diagnosis with focus on rub-impact, through combination of improved local discriminant bases (LDB) with support vector machine (SVM). The improved LDB algorithm, using both the normalized energy difference and the relative entropy as quantification measures, is applied to choose the optimal set of orthogonal subspaces for wavelet packet transform- (WPT-) based signal decomposition. Then two optimal sets of orthogonal subspaces have been obtained and the energy features extracted from those subspaces appearing in both sets will be selected as input to a SVM classifier to diagnose aero-engine faults. Experiment studies conducted on an aero-engine rub-impact test system have verified the effectiveness of the proposed approach for classifying working conditions of aero-engines.

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