Real-Time Marine Diesel Engine Simulation for Fault Diagnosis

2002 ◽  
Vol 39 (01) ◽  
pp. 21-28
Author(s):  
Kevin Logan ◽  
Bahadir Inozu ◽  
Philippe Roy ◽  
Jean-Francçois Hetet ◽  
Pascal Chesse ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Learning System ◽  
Cerebellar Model Articulation Controller ◽  
Diagnostic Systems ◽  
Efficient Manner ◽  
Engine Simulation ◽  
Intelligent Software ◽  
Marine Diesel ◽  
Cost Efficient

Automated monitoring systems are now the standard on most large vessels; however, few are equipped with diagnostic systems. This paper presents new developments in the area of fault diagnosis based on intelligent software agents. The research objective was to design an agent capable of continuous real-time machine learning by using an artificial neural network known as the cerebellar model articulation controller (CMAC). An engine simulator that can model both normal and faulty engine operations was used to develop the learning system controller in a flexible and cost-efficient manner. This paper provides a description of the selected CMAC, a brief overview of the real-time engine simulator and its integration with the learning system as well as a few results.

Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller

2009 ◽  
Vol 223 (5) ◽  
pp. 1253-1262 ◽  
Author(s):  
C Yan ◽  
H Zhang ◽  
D Peng ◽  
H Li ◽  
L Yang
Keyword(s):  
Fault Diagnosis ◽  
Steam Turbine ◽  
Real Time ◽  
Diagnostic System ◽  
Cerebellar Model Articulation Controller ◽  
Turbine Generator ◽  
Diagnosis System ◽  
The Real ◽  
Fuzzy Cmac ◽  
Fault Diagnosis System

Because a serious fault would result in a reduced amount of electricity supply in a power plant, the real-time fault diagnosis system is extremely important for a steam turbine generator set. A novel real-time intelligent fault diagnosis system is proposed by using a fuzzy cerebellar model articulation controller (CMAC) neural network to detect and identify the faults and failures of critical components. A framework of the fault diagnosis system is described. The model of a novel fault diagnosis system by using a fuzzy CMAC is built and analysed in detail step by step. A case of the diagnosis including three faults is simulated with a fuzzy CMAC. The results show that the real-time fault diagnostic system is of high accuracy, quick convergence, and high noise rejection. Moreover, the model is verified by two examples. It is found that this model is feasible. Finally, the effects of the generalization parameter and address number in fault diagnosis are discussed.

Real-Time Performance Simulation of Marine Diesel Engines for the Training of Navy Crews

2004 ◽  
Vol 41 (03) ◽  
pp. 95-101
Author(s):  
P. Chesse ◽  
D. Chalet ◽  
X. Tauzia ◽  
J. F. Hetet ◽  
B. Inozu
Keyword(s):  
Real Time ◽  
Failure Detection ◽  
Marine Diesel Engine ◽  
Simulation Code ◽  
Performance Simulation ◽  
Engine Simulation ◽  
Time Performance ◽  
Laws Of Thermodynamics ◽  
Marine Diesel ◽  
Failure Models

This paper presents a marine diesel engine simulation code designed for real-time performance. The main novelty is that the various equations are derived from the laws of thermodynamics, thus guaranteeing qualitatively accurate predictions and allowing for easy use with any type of engine. The code is based on the "filling and emptying" method with various simplifications to achieve real-time performance. A number of failure models were added to interface the code with a propulsion training application. This was done in order to educate crews on failure detection and the management of emergencies.

scholarly journals High-precision and cost-efficient sequencing for real-time COVID-19 surveillance

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Yong Park ◽  
Gina Faraci ◽  
Pamela M. Ward ◽  
Jane F. Emerson ◽  
Ha Youn Lee
Keyword(s):  
Los Angeles ◽  
Whole Genome Sequencing ◽  
Real Time ◽  
Genome Sequencing ◽  
High Precision ◽  
High Throughput Sequencing ◽  
Whole Genome ◽  
Sequencing Data ◽  
Public Health Response ◽  
Cost Efficient

AbstractCOVID-19 global cases have climbed to more than 33 million, with over a million total deaths, as of September, 2020. Real-time massive SARS-CoV-2 whole genome sequencing is key to tracking chains of transmission and estimating the origin of disease outbreaks. Yet no methods have simultaneously achieved high precision, simple workflow, and low cost. We developed a high-precision, cost-efficient SARS-CoV-2 whole genome sequencing platform for COVID-19 genomic surveillance, CorvGenSurv (Coronavirus Genomic Surveillance). CorvGenSurv directly amplified viral RNA from COVID-19 patients’ Nasopharyngeal/Oropharyngeal (NP/OP) swab specimens and sequenced the SARS-CoV-2 whole genome in three segments by long-read, high-throughput sequencing. Sequencing of the whole genome in three segments significantly reduced sequencing data waste, thereby preventing dropouts in genome coverage. We validated the precision of our pipeline by both control genomic RNA sequencing and Sanger sequencing. We produced near full-length whole genome sequences from individuals who were COVID-19 test positive during April to June 2020 in Los Angeles County, California, USA. These sequences were highly diverse in the G clade with nine novel amino acid mutations including NSP12-M755I and ORF8-V117F. With its readily adaptable design, CorvGenSurv grants wide access to genomic surveillance, permitting immediate public health response to sudden threats.

Research on Internet-Based Reconfigurable Distance Mechanical System Fault Diagnosis

2011 ◽  
Vol 52-54 ◽  
pp. 109-114
Author(s):  
Yun Jie Xu
Keyword(s):  
Fault Diagnosis ◽  
Mechanical System ◽  
High Speed ◽  
Structural Model ◽  
Component Technology ◽  
The Internet ◽  
Diagnostic Systems ◽  
Diagnosis System ◽  
J2ee Framework ◽  
Fault Diagnosis System

In order to meet requirements of increasingly high-speed, large and intelligent mechanical equipments on fault diagnosis, the Internet-based reconfigurable mechanical system fault diagnosis program was presented. The overall structure and networking schema of distance mechanical fault diagnosis system were analyzed, and the distance fault diagnosis network model based on J2EE framework was also described. The structural model and reconfigurable manner of the reconfigurable distance diagnosis system was provided, which used CORBA component technology to achieve reconfiguration. The detail steps of system that take some type of diesel engine as diagnosis object was described, and the intelligent diagnosing methods were also researched. The Internet-based fault diagnosis technology effectively improves the efficiency and accuracy of diagnostic systems.

Investigation on the Machining of Thick Diamond Films by EDM Together with Mechanical Polishing

2007 ◽  
Vol 24-25 ◽  
pp. 377-382
Author(s):  
Rong Fa Chen ◽  
Dun Wen Zuo ◽  
Yu Li Sun ◽  
Wen Zhuang Lu ◽  
D.S. Li ◽  
...  
Keyword(s):  
Diamond Films ◽  
Polycrystalline Diamond ◽  
Mechanical Polishing ◽  
Polishing Process ◽  
Two Stage ◽  
Efficient Manner ◽  
Raman Scattering Spectroscopy ◽  
Electro Discharge Machining ◽  
Diamond Polishing ◽  
Cost Efficient

Although research on various diamond polishing techniques has been carried for years, some issues still need to be examined in order to facilitate application on large areas in a cost-efficient manner. A compositive technique for machining efficiently thick diamond films prepared by DC plasma arc jet is reported in the present paper. A two-stage polishing was applied on thick polycrystalline diamond films, by employing first electro-discharge machining (EDM) for rough polishing and subsequently mechanical polishing for finishing operations. Experimental results obtained clearly indicate the applicability of the proposed two-stage technique for fabricating transparent diamond films that can be used for the production of X-ray windows. Appropriate etching with EDM is an effective pretreatment method for enhancing the efficiency of rough polishing process in mechanical polishing of thick diamond film. The machined surfaces of diamond films are studied by Scanning Electron Microscope (SEM) and Raman Scattering Spectroscopy (Raman).

scholarly journals Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Bo-Jyun Liao ◽  
Chin-Pao Hung
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Fault Diagnosis ◽  
Cerebellar Model Articulation Controller ◽  
Training Process ◽  
Cmac Neural Network ◽  
Photovoltaic Power ◽  
Training Samples ◽  
Parallel Connections ◽  
Model Features

This study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. We composed a module array using 9 series and 2 parallel connections of SHARP NT-R5E3E 175 W photovoltaic modules. In addition, we used data that were outputted under various fault conditions as the training samples for the CMAC and used this model to conduct the module array fault diagnosis after completing the training. The results of the training process and simulations indicate that the method proposed in this study requires fewer number of training times compared to other methods. In addition to significantly increasing the accuracy rate of the fault diagnosis, this model features a short training duration because the training process only tunes the weights of the exited memory addresses. Therefore, the fault diagnosis is rapid, and the detection tolerance of the diagnosis system is enhanced.

Design and Performance of a Controlled Turbocharging System on Marine Diesel Engines

2006 ◽  
Author(s):  
Ioannis Vlaskos ◽  
Ennio Codan ◽  
Nikolaos Alexandrakis ◽  
George Papalambrou ◽  
Marios Ioannou ◽  
...  
Keyword(s):  
Steady State ◽  
Engine Performance ◽  
Operating Conditions ◽  
Electric Actuator ◽  
Engine Simulation ◽  
Engine Control System ◽  
Turbocharging System ◽  
Compressor Impeller ◽  
Marine Diesel ◽  
And Performance

The paper describes the design process for a controlled pulse turbocharging system (CPT) on a 5 cylinder 4-stroke marine engine and highlights the potential for improved engine performance as well as reduced smoke emissions under steady state and transient operating conditions, as offered by the following technologies: • controlled pulse turbocharging, • high pressure air injection onto the compressor impeller as well as into the air receiver, and • an electronic engine control system, including a hydraulic powered electric actuator. Calibrated engine simulation computer models based on the results of tests performed on the engine in its baseline configuration were used to design the CPT components. Various engine tests with CPT under steady state and transient operating conditions show the engine optimization process and how the above-mentioned technologies benefit engine behavior in both generator and propeller law operation.

Sign in / Sign up

Export Citation Format

Share Document