Individual Predictive Maintenance Approach for Diesel Engines in Rail Vehicles

2020 ◽  
pp. 236-244
Author(s):  
Hendrik Engbers ◽  
Simon Leohold ◽  
Michael Freitag
Keyword(s):  
Diesel Engines ◽  
Predictive Maintenance ◽  
Rail Vehicles

The State of the Art of Hidden Markov Models for Predictive Maintenance of Diesel Engines

2017 ◽  
Vol 33 (8) ◽  
pp. 2765-2779 ◽  
Author(s):  
António Simões ◽  
José Manuel Viegas ◽  
José Torres Farinha ◽  
Inácio Fonseca
Keyword(s):  
Hidden Markov Models ◽  
Diesel Engines ◽  
Markov Models ◽  
State Of The Art ◽  
Hidden Markov ◽  
The State ◽  
Predictive Maintenance

scholarly journals Vibration Measurment And Analysis of Two Reciprocating Machines

2008 ◽  
Vol 3 (1) ◽  
pp. 14
Author(s):  
Mohammed Mouath AL Khayat ◽  
Mohammed Rashid AL Shorbajy ◽  
Basim AL Najjar
Keyword(s):  
Fault Diagnosis ◽  
Diesel Engines ◽  
Vibration Analysis ◽  
Predictive Maintenance ◽  
Vibration Measurements ◽  
Industrial Areas ◽  
Air Compressor ◽  
Outlet Pipe ◽  
Remedial Actions

Vibration analysis is used as a predictive maintenance tool in a wide variety of industrial areas, especially for rotating and reciprocating machines. In this paper fault diagnosis of the reciprocating air compressor in factory for furniture and the radiator of the diesel engines for generating electricity is presented. The reciprocating air compressor had failures in the outlet pipe of stage one. The radiator of diesel engines was subjected to leakage caused by vibrating forces. In order to detect the faults, some vibration measurements were taken and vibration analysis was accomplished. Finally, according to measurements and vibration analysis results some remedial actions were recommended.

Predictive Maintenance of Cogeneration Engines Through the Analysis of the Circulating Fluids

2002 ◽  
Author(s):  
J. R. Gonza´lez ◽  
J. Velayos ◽  
M. Comamala
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Diesel Engines ◽  
Predictive Maintenance ◽  
Maintenance System ◽  
Maintenance Systems

In this article we present a fluid-based predictive maintenance system based on an expert system which uses fuzzy logic. The programme uses information from the circulating fluids of the machine to provide an evaluation of the maintenance status of the engine. Specifically, the programme is aimed at diesel engines in a half rate cogeneration, and so we will compare our results with other commercial maintenance systems, such as FAMM (Texaco) and ADOC (Repsol), which provide corresponding responses.

Vehicle running instability detection algorithm (VRIDA): A signal based onboard diagnostic method for detecting hunting instability of rail vehicles

2021 ◽  
pp. 095440972110205
Author(s):  
R Kulkarni ◽  
A Qazizadeh ◽  
M Berg ◽  
U Carlsson ◽  
S Stichel
Keyword(s):  
Case Studies ◽  
Diagnostic Method ◽  
Detection Algorithm ◽  
Predictive Maintenance ◽  
New Method ◽  
Coupled Modes ◽  
Certification Tests ◽  
Rail Vehicles ◽  
Significant Research

In recent years, significant research transpired on onboard monitoring of various phenomena arising in dynamic vehicle-track interaction. One key issue being monitoring of vehicle hunting instability. Current hunting detection standards are appropriate for certification tests of vehicles, but incapable to monitor the health of the vehicle and track subsystems influencing the hunting instability. This paper proposes a signal based procedure for accurately triggering Hunting/No-Hunting alarm by conforming to requirements of onboard monitoring. A new method is conceived to reveal coherence among lateral and longitudinal accelerations during vehicle hunting. Furthermore, an index which amalgamates phase and amplitude information of lateral and longitudinal axlebox accelerations is introduced to detect coupled modes in lateral and yaw directions, i.e. hunting modes. Several simulations based pragmatic case studies are performed to assess the efficacy of the proposed procedure. The proposed method outperforms traditional hunting detection procedures by detecting more Hunting/No-Hunting occurrences. The proposed method contributes towards digitalization of rail vehicles through condition-based and predictive maintenance.

THE IMPORTANCE OF PREDICTIVE MAINTENANCE THROUGH ANALYSIS OF 15W40 LUBRICANT OIL SAMPLES IN DIESEL ENGINES

2019 ◽  
Author(s):  
Izac Sousa Vieira ◽  
JOSE WELITON NOGUEIRA JUNIOR ◽  
YURI JOSE LUZ MOURA ◽  
Wênio Fhará Alencar Borges
Keyword(s):  
Diesel Engines ◽  
Predictive Maintenance ◽  
Lubricant Oil

scholarly journals Condition Monitoring with Prediction Based on Oil Engines of Urban Buses – A Case Study

2018 ◽  
Author(s):  
Hugo Raposo ◽  
José Torres Farinha ◽  
Inácio Fonseca ◽  
Luis Ferreira
Keyword(s):  
Condition Monitoring ◽  
Diesel Engines ◽  
Predictive Maintenance ◽  
Maintenance Policy ◽  
Normal Functioning ◽  
The Real ◽  
Maintenance Policies

The paper presents a case study and a model for condition monitoring of Diesel engines’ oil of urban buses, through the accompaniment of the evolution of its degradation, with the objective to implement a predictive maintenance policy. Along time, because the usage, there is some decay in the lubricant properties. However, in normal functioning conditions, the lubricants properties, at the time the manufacturers recommend its changing, regardless of they are within the safety limits. Then, based on the accompaniment of the lubricants’ oil condition, the intervals of oil replacement can be enlarged what implies the availability increasing and the corresponding production increasing of the equipment. The model presented in this paper shows its potential to be spread to other types of equipment and organisations that want can implement similar maintenance policies, to achieve the best availability based on the real equipment health conditioning conditions

scholarly journals Ecological Predictive Maintenance of Diesel Engines

2020 ◽  
Author(s):  
António Simões ◽  
José Torres Farinha ◽  
Inácio Fonseca
Keyword(s):  
Diesel Engines ◽  
Predictive Maintenance

DEVELOPMENT OF THE COMBUSTION CHAMBER OF GAS ENGINE, CONVERTED ON THE BASIS OF DIESELS D-120 OR D-144 ENGINES TO WORK FOR ON LIQUEFIED PETROLEUM GAS

2019 ◽  
pp. 2-8
Author(s):  
Serhii Kovalov
Keyword(s):  
Combustion Chamber ◽  
Compression Ratio ◽  
Diesel Engines ◽  
Combustion Engine ◽  
Motor Fuel ◽  
Liquefied Petroleum Gas ◽  
Gas Engine ◽  
Chamber Volume ◽  
Motor Fuels ◽  
Dynamic Cycle

The expediency of using vehicles of liquefied petroleum gas as a motor fuel, as com-pared with traditional liquid motor fuels, in particular with diesel fuel, is shown. The advantages of converting diesel engines into gas ICEs with forced ignition with respect to conversion into gas diesel engines are substantiated. The analysis of methods for reducing the compression ratio in diesel engines when converting them into gas ICEs with forced ignition has been carried out. It is shown that for converting diesel engines into gas ICEs with forced ignition, it is advisable to use the Otto thermo-dynamic cycle with a decrease in the geometric degree of compression. The choice is grounded and an open combustion chamber in the form of an inverted axisymmetric “truncated cone” is developed. The proposed shape of the combustion chamber of a gas internal combustion engine for operation in the LPG reduces the geometric compression ratio of D-120 and D-144 diesel engines with an unseparated spherical combustion chamber, which reduces the geometric compression ratio from ε = 16,5 to ε = 9,4. The developed form of the combustion chamber allows the new diesel pistons or diesel pistons which are in operation to be in operation to be refined, instead of making special new gas pistons and to reduce the geometric compression ratio of diesel engines only by increasing the combustion chamber volume in the piston. This method of reducing the geometric degree of compression using conventional lathes is the most technologically advanced and cheap, as well as the least time consuming. Keywords: self-propelled chassis SSh-2540, wheeled tractors, diesel engines D-120 and D-144, gas engine with forced ignition, liquefied petroleum gas (LPG), compression ratio of the internal com-bustion engine, vehicles operating in the LPG.

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