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Vibration signal analysis is the most common technique for helicopter health condition monitoring. It has been widely employed to detect helicopter gearbox fault and ensure the safe operation. Through the years, vibration signal analysis has a significant contribution to successfully prevent a number of accidents. However, vibration based bearing identification remains a challenge because bearing...
In this study, the performance of a twin-shaft Industrial Gas Turbine (IGT) at fouling conditions is simulated through a Simulink model based on fundamental thermodynamics. Engine measurements across a twin-shaft IGT system during compressor fouling conditions were considered to validate this study. By implementing correlation coefficients in the compressor model, it is possible to predict the performance...
Prognostic and Health Management (PHM) systems can manage health conditions of airplane real-time. As crucial subsystem of PHM, Aircraft Structural Health Management (ASHM) mainly focus on structural health monitoring and assessment, microstructure fault monitoring and isolation, overload, corrosion monitoring, residual life assessment and so on. It is overwhelmingly difficult for large aircraft structure...
A device-based health conditions monitoring and diagnosis method for inverters is present. In the inverter, SiCGTO (Gate-Turn-Off Thyristor) is considered as the key device to achieve pulse-width modulation. So the performance degradation of SiC-GTO device induced by interface-states is critical for the health conditions of inverters. In the research, key electrical parameters, including the forward...
the coupling and correlation degree between aircraft systems is higher, and the diagnosis and prognosis of aircraft are more complex. Building a platform for storing and analyzing the aviation big data becomes an important task for civil aviation. This paper proposes a civil aircraft health management big data architecture. The civil aircraft health management system includes airborne PHM, ground...
The objective of this paper is to describe a procedure to evaluate system maintainability at the design stage, the results of which can support concurrent decision-making with specified maintenance requirements and the guidance of maintainability design improvement. With this purpose, maintainability indicators for decision-making and design guidance are defined based on the maintainability attributes...
The remaining useful life (RUL) prediction of bearings has emerged as a critical technique for providing failure warnings in advance, reducing costly unscheduled maintenance and enhancing the reliability of bearings. Recently, a fusion prognostics method combining exponential model and relevance vector machine (RVM) has been proposed and applied to the RUL prediction of bearings. This fusion prognostics...
Spark Ignition Direct Injection (SIDI) technology enables better fuel economy and tail pipe emissions in vehicles equipped with gasoline engines. The SIDI technology relies on the system's ability to deliver fuel at high pressures and reliable performance of the high pressure fuel pump is vital as it directly relates to the operability of the vehicle. It, therefore, becomes very important to devise...
An intelligent condition based monitoring system needs to have a communication subsystem for consensus among the devices of that system. Development of such a communication system has to follow an industry oriented universally acceptable standard protocol. Having universal acceptability, MTConnect is potentially most effective, efficient and sustainable protocol for this purpose. This paper presents...
Predicting remaining useful lifetime is key to improving operational efficiency, and increasing the reliability of machinery. This paper presents an approach for increasing the accuracy of diagnostics of systems with multiple components. We first discuss a degradation model for systems, where the deterioration process of a component is influenced by the state of deterioration of the other components...
Some automotive components, for instance a clutch housing, need to fit the assembly (dimensional constraint), and must be perfectly weight balanced for proper functioning (functional fidelity), which could be achieved by removing material from the body (relaxed geometry). While such mission critical components require 100% inspection, current non-destructive methods are often inadequate, trying to...
Prognostic deals with predicting the possible future failure of different types of engineering systems. For the purpose of prognostics, the failure of the system is defined to be the instant when the degradation (performance) level rises above (drops below) a defined threshold. It is impossible to make a precise prediction of the remaining useful life (RUL) of a system due to many sources of uncertainties...
This paper analyzes the control surface damage of civil aircraft flight control system. Firstly, the fault feature extraction method is analyzed. Then the control surface damage is studied and it is simulated by Simulink. The fault injection is realized by setting the damage coefficient in the simulation model. It simulates seven kinds of fault modes, analyzes the simulated flight data in time domain,...
Open Platform Communication (OPC) also known as Object Linking and Embedding (OLE) for Process Control (OPC) is the platform for communication in automation and manufacturing fields among the group of networked devices. OPC standard supports the group of specifications known as OPC-Data Access (OPC-DA), OPC-Historical Data Access (OPC-HDA) and OPC-Unified Architecture (OPC-UA). In this paper, the...
Remaining Useful Life (RUL) of a component or a system is defined as the length from the current time to the end of the useful life. Accurate RUL estimation plays a critical role in Prognostics and Health Management(PHM). Data driven approaches for RUL estimation use sensor data and operational data to estimate RUL. Traditional regression based approaches and recent Convolutional Neural Network (CNN)...
Remaining useful life (RUL) prediction of machinery plays a significant role for predictive maintenance, thus attracting more and more attentions in recent years. Stochastic process model-based methods are widely used in the RUL prediction of machinery. One of the major issues in the stochastic process model-based methods is that how to deal with the unit-to-unit variability during the RUL prediction...
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