Withdrawal: An improved turbofan engine maintenance model based on operational data.

2021 ◽  
Author(s):  
Meina Zhang ◽  
Wenbin Song ◽  
Cheng Chen ◽  
Yang Song
Keyword(s):  
Turbofan Engine ◽  
Model Based ◽  
Engine Maintenance ◽  
Maintenance Model ◽  
Operational Data

scholarly journals An adaptive opportunistic maintenance model based on railway track condition prediction

2016 ◽  
Vol 49 (28) ◽  
pp. 120-125 ◽  
Author(s):  
Christophe Letot ◽  
Iman Soleimanmeigouni ◽  
Alireza Ahmadi ◽  
Pierre Dehombreux
Keyword(s):  
Railway Track ◽  
Opportunistic Maintenance ◽  
Model Based ◽  
Track Condition ◽  
Maintenance Model

scholarly journals A New Maintenance Optimization Model Based on Three-Stage Time Delay for Series Intelligent System with Intermediate Buffer

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Xiaolei Lv ◽  
Qinming Liu ◽  
Zhinan Li ◽  
Yifan Dong ◽  
Tangbin Xia ◽  
...  
Keyword(s):  
Time Delay ◽  
Preventive Maintenance ◽  
Intelligent System ◽  
Buffer Stock ◽  
Normal Operation ◽  
Series System ◽  
Model Based ◽  
The Impact ◽  
Series Systems ◽  
Maintenance Model

For the maintenance problem of intelligent series system with buffer stock, a preventive maintenance model based on the threestage time delay theory is proposed. Firstly, the intelligent series system is decomposed into n − 1 virtual series systems by using approximate decomposition method. The impact factor is introduced to establish the failure rate and maintenance rate model of each virtual machine. Secondly, a preventive maintenance model based on the three-stage time delay theory is proposed for each virtual series system. The machine state from normal operation to failure stage is divided into three steps: initial defect, serious defect, and fault, and different distribution functions are defined in different stages to simulate the degradation process of the machine. Based on the three-stage time delay theory, the machine cost ratio model was established by taking the machine monitoring time and buffer stock as decision variables and the minimum unit time cost rate as objective function. Finally, the rationality and validity of the model are verified by an example analysis, which provides a basis for the maintenance of the intelligent series system.

Integrated In-Flight Fault Detection and Accommodation: A Model-Based Study

2005 ◽  
Author(s):  
Randal T. Rausch ◽  
Kai F. Goebel ◽  
Neil H. Eklund ◽  
Brent J. Brunell
Keyword(s):  
High Fidelity Simulation ◽  
Turbofan Engine ◽  
Multiple Faults ◽  
Safety Critical ◽  
Fault Accommodation ◽  
Model Based ◽  
Flight Envelope ◽  
Binary Classifiers ◽  
Millisecond Range ◽  
Integrated Detection

In-flight fault accommodation of safety-critical faults requires rapid detection and remediation. Indeed, for a class of safety critical faults, detection within a millisecond range is imperative to allow accommodation in time to avert undesired engine behavior. We address these issues with an integrated detection and accommodation scheme. This scheme comprises model-based detection, a bank of binary classifiers, and an accommodation module. The latter biases control signals with pre-defined adjustments to regain operability while staying within established safety limits. The adjustments were developed using evolutionary algorithms to identify optimal biases off-line for multiple faults and points within the flight envelope. These biases are interpolated online for the current flight conditions. High-fidelity simulation results are presented showing accommodation applied to a high-pressure turbine fault on a commercial, high-bypass, twin-spool, turbofan engine throughout the flight envelope.

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