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Author: Ravi Rajamani Publisher: SAE International ISBN: 0768095395 Category : Technology & Engineering Languages : en Pages : 196
Book Description
The propulsion system is arguably the most critical part of the aircraft; it certainly is the single most expensive component of the vehicle. Ensuring that engines operate reliably without major maintenance issues is an important goal for all operators, military or commercial. Engine health management (EHM) is a critical piece of this puzzle and has been a part of the engine maintenance for more than five decades. In fact, systematic condition monitoring was introduced for engines before it was applied to other systems on the aircraft. Diagnostics and Prognostics of Aerospace Engines is a collection of technical papers from the archives of SAE International, which introduces the reader to a brief history of EHM, presents some examples of EHM functions, and outlines important future trends. The goal of engine health maintenance is ultimately to reduce the cost of operations by catching problems before they become major issues, by helping reduce repair times through diagnostics, and by facilitating logistic optimization through prognostic estimates. Diagnostics and Prognostics of Aerospace Engines shows that the essence of these goals has not changed over time.
Author: Ravi Rajamani Publisher: SAE International ISBN: 0768095395 Category : Technology & Engineering Languages : en Pages : 196
Book Description
The propulsion system is arguably the most critical part of the aircraft; it certainly is the single most expensive component of the vehicle. Ensuring that engines operate reliably without major maintenance issues is an important goal for all operators, military or commercial. Engine health management (EHM) is a critical piece of this puzzle and has been a part of the engine maintenance for more than five decades. In fact, systematic condition monitoring was introduced for engines before it was applied to other systems on the aircraft. Diagnostics and Prognostics of Aerospace Engines is a collection of technical papers from the archives of SAE International, which introduces the reader to a brief history of EHM, presents some examples of EHM functions, and outlines important future trends. The goal of engine health maintenance is ultimately to reduce the cost of operations by catching problems before they become major issues, by helping reduce repair times through diagnostics, and by facilitating logistic optimization through prognostic estimates. Diagnostics and Prognostics of Aerospace Engines shows that the essence of these goals has not changed over time.
Author: Ravi Rajamani Publisher: ISBN: 9780768093094 Category : Airplane Languages : en Pages : 196
Book Description
A collection of technical papers from the archives of SAE International, which introduces the reader to a brief history of EHM, presents some examples of EHM functions, and outlines important future trends.
Author: Ravi Rajamani Publisher: SAE International ISBN: 0768093074 Category : Transportation Languages : en Pages : 196
Book Description
The propulsion system is arguably the most critical part of the aircraft; it certainly is the single most expensive component of the vehicle. Ensuring that engines operate reliably without major maintenance issues is an important goal for all operators, military or commercial. Engine health management (EHM) is a critical piece of this puzzle and has been a part of the engine maintenance for more than five decades. In fact, systematic condition monitoring was introduced for engines before it was applied to other systems on the aircraft. Diagnostics and Prognostics of Aerospace Engines is a collection of technical papers from the archives of SAE International, which introduces the reader to a brief history of EHM, presents some examples of EHM functions, and outlines important future trends. The goal of engine health maintenance is ultimately to reduce the cost of operations by catching problems before they become major issues, by helping reduce repair times through diagnostics, and by facilitating logistic optimization through prognostic estimates. Diagnostics and Prognostics of Aerospace Engines shows that the essence of these goals has not changed over time.
Author: North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Propulsion and Energetics Panel Publisher: ISBN: Category : Aeronautical instruments Languages : en Pages : 370
Author: Luca Marinai Publisher: ISBN: Category : Languages : en Pages :
Book Description
Reducing the direct operating-costs is now crucial in order to ensure competitive advantages for airlines and manufacturers, and so effective advanced engine-condition monitoring methodologies are necessary. Hence gas-path diagnostics and prognostics methods are reviewed and the specifications for such effective tools deduced, together with their pertinent future prospects. First, the considerable value that a preliminary observability study adds to the diagnostics process was recognised. A secure procedure has been devised: it is capable of (i) the identification of the severity of correlations between any two of the available measurements, as well as the correlations between any two of the component changes, (ii) the identification of more complex correlations that involve more than two changes in performance parameters, and (iii) the quantification of the quality of the system observability through a pertinent parameter. This enables comparisons among a significant number of measurement set selections. The core of the research is a novel gas-path diagnostics (GPD) method that uses fuzzy logic in order to provide secure quantification of the gas-path component faults. A fuzzy diagnostics system was set up for the Rolls-Royce Trent 800 engine that relies on an extensive statement of fuzzy rules generated using an engine model to achieve a quantitative solution through a non-linear approach, which is competent to achieve (i) SFI (single fault isolation) in the presence of noisy data, (ii) tuning over a known global deterioration level for all the performance parameters (baseline) computed for the previous flight, (iii) partial MFI (multiple fault isolation) with up to 2 degraded components (i.e. 4 performance parameters) considerably faulty at the same time, (iv) SFI while isolating systematic errors in the measurements (biasses). A bias-tolerant system was devised by means of the NOT logical operator and a new formulation of the fuzzy rules that includes the location of the bias. An innovative prognostics framework was devised, which uses ARIMA models and regression models respectively for short and long term investigations, to compute forecasts and the associated prediction intervals, which are aimed at assisting the prognostics decision-making process. This is strictly related to the diverse business intentions: in this study safety and economic related applications are investigated. For example, the optimisation of the TBO (time between overhauls) considering maintenance cost and additional fuel cost due to the deterioration is studied and the potential cost savings for the operators highlighted. HMP 1.1 for performance analysis was developed: it is a health-monitoring and prognostics framework consisting of three modules that perform respectively observability study, gas-path diagnostics and prognostics. The substantial benefits that can be achieved with such a tool, relative to the enhanced maintenance planning and improved mission scheduling, are discussed in the thesis via applications to the Trent 800 engine.
Author: Ravi Rajamani Publisher: SAE International ISBN: 0768095352 Category : Technology & Engineering Languages : en Pages : 146
Book Description
Condition-Based Maintenance in Aviation: The History, The Business and The Technology describes the history and practice of Condition-Based Maintenance (CBM) systems by showcasing ten technical papers from the archives of SAE International, stretching from the dawn of the jet age down to the present times. By scientifically understanding how different components degrade during operations, it is possible to schedule inspections, repairs, and overhauls at appropriate intervals so that any incipient failure can be detected well in advance. Today, this includes more sensors and analytics so that periodic inspections are replaced by automated "continuous" inspections, and analytical methods that detect imminent failures and predict degradation issues more economically and efficiently. Similar concepts are also being developed for delivering prognostics functions, such as tracking of remaining useful life (RUL) of life-limited parts in aircraft engines. The discipline within CBM that deals with this is called prognostics and health management (PHM), which covers all aspects of diagnostics and prognostics, including modeling of systems and subsystems, sensing, data transmission, storage and retrieval, analytical methods, and decision making. Traditionally, nondestructive testing (NDT) methods have been employed during the major airplane checks to assess structural damage. These techniques are enhanced with in- situ sensing techniques that can continuously monitor aircraft structures and report on their health. The move to condition-based assessment of maintenance needs to be balanced by the assurance that safety is not compromised, that initial cost of new equipment is amortized by the savings, and that regulatory authorities are on board with any modifications to the planned maintenance schedule. The trend is clearly to include more CBM functions into Maintenance, Repair and Overhaul (MRO) processes so better cost control can be achieved without ever comprising passenger safety.
Author: Keith B Armstrong Publisher: SAE International ISBN: 0768093171 Category : Technology & Engineering Languages : en Pages : 196
Book Description
The new edition of the well known Care and Repair of Advanced Composites, 3rd Edition, improves on the usefulness of this practical guide geared towards the aerospace industry. Keith B. Armstrong, the original lead author of the first edition was still in charge of this project, counting on the expert support of Eric Chesmar, senior composites specialist at United Airlines. Mr. Chesmar is also an active member of SAE International's CACRC (Commercial Aircraft Composite Repair Committee), an elite group of industry experts dedicated to the standardization, safety, security, and efficiency of composite repairs in the airline industry. Mr. Francois Museux (Airbus) and Mr. William F. Cole II also contributed. Care and Repair of Advanced Composites, 3rd Edition, presents a fully updated approach to the training syllabus recommended for repair design engineers and composite repair mechanics. Metal bonding has been included partly because the defi nition of "composite" can be interpreted to include metal-skinned honeycomb panels, and partly because some composite parts have metal fi ttings or reinforcements that must be treated before bonding. This third edition also covers a number of the problems experienced in service, some of which may be applicable to metallic sandwich panels, offers suggestions for design improvements, including repair design as a particular topic, and regulatory changes. Care and Repair of Advanced Composites, 3rd Edition, provides solid technical information and training for a wide range of airline staff.
Author: Dan M. Ghiocel Publisher: ISBN: Category : Languages : en Pages : 10
Book Description
One key aspect when developing a real-time in-flight risk-based health management system for jet engines is the development of accurate and robust fault classifiers. Regardless of the complex uncertainty propagation in the data fusion process, the selection of fault classifiers is the critical aspect of a health management system. The paper illustrates the application of a hybrid Stochastic-Fuzzy-Inference Model-Based System (StoFIS) to fault diagnostics and prognostics for both the engine performance. The random fluctuations of jet engine performance parameters during flight missions are modeled using multivariate stochastic models. The fault diagnostic and prognostic risks are computed using a stochastic model-based deviation (using a gas-path analysis model) approach. At any time the engine operation for the future is approached as a conditional reliability problem where the conditional data are represented by the past operational history monitored on-line by the engine health management (ERM) system. To capture the complex functional relationships between different engine performance parameters during flight fast an adaptive network-based fuzzy inference system is employed. This increases significantly the robustness of the ERM system during highly transient in-flight conditions. Both the monitored and fault data uncertainties are considered in a multidimensional parameter space, with two probabilistic-based safety margins employed for fault detection and diagnostic, as follows: (i) Anomaly Detection Margin (ADM) and (ii) Fault Detection Margin (FDM).
Author: Ravi Rajamani
Author: Ravi Rajamani
Author: Ravi Rajamani
Author: Ravi Rajamani
Author: North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Propulsion and Energetics Panel
Author: Luca Marinai
Author: Ravi Rajamani
Author: 
Author: Jason Van Dyke
Author: Keith B Armstrong
Author: Dan M. Ghiocel