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<p class="TitleMain">Sensor Failure Management in Liquid Rocket Engine using Artificial Neural Network</p>

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Title Statement <p class="TitleMain">Sensor Failure Management in Liquid Rocket Engine using Artificial Neural Network</p>
 
Added Entry - Uncontrolled Name Flora, J Jessi; ISRO Propulsion Complex, Indian Space Research Organization, Mahendragiri, Tamil Nadu, India 627 133
Auxillia, D Jeraldin; Electronics and Communication Engineering, St. Xavier’s Catholic College of Engineering, Tamil Nadu, India 629 003
 
Uncontrolled Index Term Bayesian Regularisation algorithm; Liquid rocket engine; Qualification test; Regression; Sensor
 
Summary, etc. <p class="Abstract">This paper presents a novel Artificial Neural Network based Fault Detection, Isolation and Substitution <br /> (ANN-FDIS)algorithm for faulty sensor measurement in Liquid Rocket Engine (LRE). Fault detection and isolation are done by residual and fault flag logics and the trained multilayer perceptron model Artificial Neural Network (ANN) substitutes faulty sensor measurement. Data for ANN training, testing and validation are extracted from qualification and validation hot tests of LRE. Regression (R) and Mean Square Error (MSE) are considered for evaluating the ANN. During validation of this study, the faulty sensor is identified, isolated and data substituted from other input parameters with an error less than ±0.7%. This unique scheme does not require accurate modeling of the complicated LRE as well as sensor hardware redundancy which adds weight, space and power to rockets.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-01-11 11:01:43
 
Electronic Location and Access http://op.niscair.res.in/index.php/JSIR/article/view/43672
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 11 (20)
 
Language Note en