Browse Topic: Fleet management

Items (52)
Traditional safe-life methodologies for rotorcraft structural components often result in overly conservative life estimates, increasing maintenance costs and reducing aircraft availability. This study explores the integration of digital twin concepts with probabilistic modeling and machine learning to enhance structural life assessment, demonstrated through a practical case involving the Royal Canadian Air Force CH-146 Griffon helicopter. A probabilistic fatigue model determines a fatigue life distribution by incorporating material variability and uncertain operational loads inferred directly from flight data. Unlike conventional approaches, this method dynamically estimates load spectra, including uncertainty instead of relying on conservative assumptions. Monte Carlo simulations are used to quantify structural risk and assess the impact of load and material uncertainties. Sensitivity analyses highlight these uncertainties’ contributions to failure probability. The proposed approach provides probabilistic life predictions, supporting risk-based maintenance strategies to potentially optimize operational efficiency. The long-term goal is to develop an adaptive digital twin model that continuously updates with new operational flight data, enhancing predictive accuracy for helicopter fleet management.
Asaee, ZohrehRenaud, GuillaumeBombardier, YanCheung, Catherine
ABSTRACT Airframes in the future will include a significant amount of composite material components that need to be designed for both optimal structural efficiency and damage tolerance. Current composite design methodology relies on the establishment of worst-case scenarios for each of the factors that influence the structural capacity and life of airframe components. The layered application of these factors can result in excessive levels of conservatism and maintenance requirements that reduce aircraft availability. The combat aircraft of the future can be designed and maintained based on specific knowledge derived from data driven methodologies to define risk, threat impact, and measured structural response in order to maximize aircraft availability, while ensuring safety and reliability. This work describes an Advanced Structural Integrity Framework (ASIF) that probabilistically models composite residual strength. Full-scale damage tolerance tests of a UH-60M stabilator provided input data for various threat types and severities. Threat probabilities were derived from prior studies and recent fleet repair data. The model estimated the risk of failure in various structural zones to identify areas for reducing conservatism. Trend studies confirmed that the model appropriately responded to changes in composite material properties and threat exposures, thus showing its potential as a powerful structural risk assessment tool for design and fleet management.
Weintraub, AlexanderGurvich, MarkBordick, NathanielFurnes, KennethBates, PrestonKiser, Jay
Evaluation of Exhaust Heat Recovery System Effectiveness in Engine Friction Reduction and Fuel Economy Improvement for Indian Hatchback2017-01-01543/28/2017
With the upcoming regulations for fuel economy and emissions, there is a significant interest among vehicle OEMs and fleet managers in developing computational methodologies to help understand the influence and interactions of various key parameters on Fuel Economy and carbon dioxide emissions. The analysis of the vehicle as a complete system enables designers to understand the local and global effects of various technologies that can be employed for fuel economy and emission improvement. In addition, there is a particular interest in not only quantifying the benefit over standard duty-cycles but also for real world driving conditions. The present study investigates impact of exhaust heat recovery system (EHRS) on a typical 1.2L naturally aspirated gasoline engine passenger car representative of the India market. Computational Sciences Experts Group (CSEG) has developed a forward calculating Simulink model of the passenger car in order to calculate the engine loading, engine heat rejection and the exhaust energy generated during a drive cycle. The calibrated model was then used to simulate a Modified Indian Drive Cycle (MIDC), and closely integrated with a transient underhood thermal model to evaluate the warm-up impact and the engine friction reduction attributed to the addition of the EHRS system. This approach can assist in the selection of the appropriate powertrain to optimize fuel economy. Further, the tool and the methodology quantify benefits in real world driving conditions and can help designers make educated investment decisions a cost/benefit and emission impact of the technologies.
Uppuluri, SudhiR Khalane, HemantNaiknaware, Ajay
Evaluation of Exhaust Heat Recovery System Effectiveness in Engine Friction Reduction and Fuel Economy Improvement2017-26-00301/10/2017
With the upcoming regulations for fuel economy and emissions, there is a significant interest among vehicle OEMs and fleet managers in developing computational methodologies to help understand the influence and interactions of various key parameters on Fuel Economy and carbon-di-oxide emissions. The analysis of the vehicle as a complete system enables designers to understand the local and global effects of various technologies that can be employed for fuel economy and emission improvement. In addition, there is a particular interest in not only quantifying the benefit over standard duty-cycles but also for real world driving conditions. Present study investigates impact of exhaust heat recovery system (EHRS) on a typical 1.2L naturally aspirated gasoline engine passenger car representative of the India market. CSEG has developed a forward calculating Simulink model of the passenger car in order to calculate the engine loading, engine heat rejection and the exhaust energy being generated. Calibrated model was used to simulate Modified Indian Drive cycle (MIDC) drive cycle, and closely integrated with a transient underhood thermal model to evaluate the warm-up impact and the engine friction reduction due to the EHRS system. The approach can assist in the selection of appropriate powertrain to optimize fuel economy. Further, the tool and the methodology quantifies benefits in real world driving conditions and can help designers make educated investment decisions by determining, in advance, the cost/benefit and emission impact of the technologies.
Uppuluri, SudhiM Naiknaware, AjayR Khalane, Hemant
Health and Usage Monitoring Systems (HUMS) generate a significant amount of data used for on-board and off-board monitoring of the health of the aircraft and its components. When this data is aggregated over the life of an aircraft, it becomes an invaluable resource that enables decision making for diagnostics, prognostics, and fleet management. At the fleet level, the amount of data being ingested, stored, and processed becomes a challenge in itself. The capability to easily handle data of this size is critical to be responsive to time-critical inquiries, iterate on data modeling, and enable efficient diagnostics and prognostics algorithm development. This paper discusses how massively scalable data analytics technologies have been used to enable rapid decision support using HUMS and other data sources. Several use cases are highlighted to show the novel opportunities enabled by these technologies along with associated challenges.
Koelemay, MichaelSulcs, Peter
Merge Ahead: Integrating Heavy Duty Vehicle Networks with Wide Area Network Services2010-01-205310/5/2010
Commercial vehicle operators have many options available to them for managing their assets. Whether in an on-highway fleet, agricultural / off-road, construction, or military, available real-time vehicle information is growing. While accessing this data via applicable Wide Area Networks (WANs) is commonplace, new technologies are just beginning to develop to take advantage of all of the connectivity possibilities to further aid in delivery of goods and services. As an enabler to expanding these fleet management applications, vehicle on-board networks (commonly referred to as “in-vehicle” or simply “vehicle networks”) are expected to support a growing number of vehicle related technological solutions. This paper provides background on vehicle networks, including key terminology, an introduction to standards based protocols, and critical SAE vehicle network related standards. While an historical view of vehicle network topologies and a rationale for the very first vehicle networks is summarized, growth applications such as fleet management system use of vehicle network data generated is emphasized. To provide an understanding of the importance of a vehicle network backbone, a comparison to modern local area networks (LANs) is provided, along with the structure of the data packets or Protocol Data Units (PDUs). Next, standards based vehicle networks supporting Heavy Duty vehicles are described to explain information is conveyed. These standard protocols include SAE J1708 , J1587 , J1939 , J2534 , CAN (ISO 11898), and ATA/TMC RP1210. In order to illustrate how these standard protocols work, this paper provides a detailed overview of SAE J1939 including the J1939 -7 and J1939 -73 standards, as well as Heavy-Duty On Board Diagnostics (HD OB) standard Messaging and Diagnostics that use J1939 . The paper describes how these protocols and those related with LAN and WAN networks complement each other to provide end-to-end connectivity to support a variety of fleet management applications. Next, the promise of leveraging integration of vehicle networks with LANs and Wide Area Networks (WANs) is discussed. While the industry has recently begun the implementation of the aforementioned internetworking, future inter-vehicle networking scenarios will be described, along with proposed standards required for implementation. Finally, the future for vehicle networking is outlined including opportunities for standards development in the area of security, bandwidth allocation, application-specific vehicle network protocols, and emerging WANs.
Zachos, Mark P.
Contactless CAN Interface: A Standard for Aftermarket Automotive2007-01-17104/16/2007
The use of embedded control units continues to increase in embedded systems such as automotive, trucks, etc. The industry trend is to develop distributed architecture, using embedded networks like CAN bus technology to link the increasing numbers of Electronic Control Units and functions all together. At the same time, there is the need to connect consumer electronics products (telematics and infotainment systems, fleet management systems, Pay As You Drive equipment, black box for insurance, etc) to the distributed electronic architecture of these embedded systems. By this way, electronic devices could take a lot of information from the car and offer more powerful added value functionalities within a limited cost structure. Unfortunately, systems makers don't allow intrusive solutions for safety, reliability reasons and to maintain integrity of their entire systems. So, at this moment, there is no reliable and legal way to integrate consumer electronics devices without compromising the integrity of the vehicle's electronic system in an existing platform in the aftermarket. NSI proposes one way to accomplish this via its CAN contactless technology. Such an interface acts as a 100% spy and neutral system. It extracts data from the embedded networks (CAN bus or other) without any electrical contact to the network's medium. In this way, it follows the system maker's requirements for no degradation to their system integrity. There are plenty of applications for such an interface: fleet management system, CAN spy analyzer and tools, insurance spy equipments and other after market equipments. Such an interface can be a standard way to interface CAN networks to aftermarket automotive products. This paper presents the main characteristics of an innovative CAN contactless solution: Technical presentation of the CAN Contactless interface Reliability of the solution Examples of application
Berenger, Jean-Yves
Web-Based Vehicle Remote Access and Its Application to In-Vehicle Network Integrated Fleet Management2001-01-00673/5/2001
The demands for effective and efficient management of commercial vehicles and freight transport have led to the increasing needs for sophisticated fleet management systems (FMS) for reducing the operation cost of commercial vehicle operation, improving custom service and asset management as well as maintaining the safety and security. The availability and declining costs of telecommunications and information technologies afford opportunities for using real-time information to achieve these targets and the emergence of internet technology make it possible to transfer updated real-time information through more widely available communication media. This paper introduces the web-based remote-access concept for the real-time information acquisition, which has been used to enhance functionality of a dynamic fleet management system. When integrated with in-vehicle network, the information from other intelligent transport system (ITS) devices, along with vehicle electronic control modules, can be made available for a web-based remote fleet management system of vehicle fleet. The structure of an intelligent event engine has been proposed on the vehicle-side for monitoring and controlling of vehicle operations through the combination of web-based communication media and vehicle network technology. The implementation of the proposed method on a Truck System Concept Verifier has been used to demonstrate feasibility of the web-based remote access to enhance functionality of a dynamic FMS.
Ni, YongxiNwagboso, ChristopherSamuel, Jim
This paper undertakes the review of the history of the development of the Heavy Vehicle Electronic License Plate (HELP) concept developed by the Arizona Department of Transportation. The review encompasses a detailed technical explanation of the HELP concept and gives the various components’ relationships to the total system. An explanation of vehicle transponder/data collection site/central processing is given along with a brief overview of system economics and current research direction.
Schmitt, Louis A.
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