Analysis of Transmission Fluid in Manual Diesel Engine by Ferrographic Technique

2013 ◽  
Vol 393 ◽  
pp. 925-930
Author(s):  
Norhanifah Abdul Rahman ◽  
Salmiah Kasolang ◽  
Mohamad Ali Ahmad ◽  
Mimi Azlina Abu Bakar
Keyword(s):  
Diesel Engine ◽  
Optical Microscopy ◽  
Condition Monitoring ◽  
Microscopic Analysis ◽  
Study Analysis ◽  
The Past ◽  
Type Size ◽  
Transmission Fluid ◽  
Machine Systems ◽  
Wear Characterization

Condition monitoring techniques have been developed in the past two decades in order to predict and overcome the wear related damage progression in gear transmission systems. Ferrographic Technique (FT) is a microscopic analysis to identify the presence of material composition by characterizing particles concentration, type, size, distribution, and morphology. This technique is part of a Predictive Maintenance (PdM) program to avoid a major failure in machine systems. In the present study, analysis of wear characterization in diesel engine by Ferrographic Technique was conducted. Transmission fluid samples were collected from intercity bus and analyzed using Ferrogram Maker (FM-III). Optical microscopy and Predict Chart were used to characterize and identify sample in where groups. It was observed that the corrosive and black oxide wear type were major findings in all samples tested.

scholarly journals Social factors of innovative development of regions

2018 ◽  
Vol 14 (3) ◽  
pp. 53-58
Author(s):  
L. Ivanova-Shvets
Keyword(s):  
Social Factors ◽  
Economic Factors ◽  
Innovative Development ◽  
Effective Management ◽  
Study Analysis ◽  
Important Condition ◽  
Factors Affecting ◽  
The Past ◽  
Innovative Economy

The Object of the Study. Innovative development of regionsThe Subject of the Study. Social factors of innovative development of regionsThe Purpose of the Study. Analysis of the main social factors affecting the innovative development of the regions.The main Provisions of the Article. The most important condition for the innovative development of the regions is the effective management impact on the entire set of indicators aimed at improving the functioning of the innovative economy. The most significant and important factors affecting the innovative development of the regions include social factors that are closely related to legal, political and economic factors. The article analyzes the main social factors in the dynamics over the past 10 years and identifies the main problems that negatively affect the innovative development of the regions

Fuzzy model-based condition monitoring and fault diagnosis of a diesel engine cooling system

2002 ◽  
Vol 216 (3) ◽  
pp. 215-224 ◽  
Author(s):  
J A Twiddle ◽  
N B Jones
Keyword(s):  
Fault Diagnosis ◽  
Diesel Engine ◽  
Condition Monitoring ◽  
Cooling System ◽  
Fuzzy Model ◽  
Operating Conditions ◽  
Experimental Simulation ◽  
Model Based ◽  
Potential System ◽  
On Line

This paper describes a fuzzy model-based diagnostic system and its application to the cooling system of a diesel engine. The aim is to develop generic cost-effective knowledge-based techniques for condition monitoring and fault diagnosis of engine systems. A number of fuzzy systems have been developed to model the cooling system components. Residuals are generated on line by comparison of measured data with model outputs. The residuals are then analysed on line and classified into a number of fuzzy classes symptomatic of potential system conditions. A fuzzy rule-based system is designed to infer a number of typical fault conditions from the estimated state of the valve and patterns in the residual classes. The ability to diagnose certain faults in the system depends on the state of the thermostatic valve. The diagnostic systems have been tested with data obtained by experimental simulation of a number of target fault conditions on a diesel generator set test bed. In five test cases for separate cooling system operating conditions, the diagnostic system's successful diagnosis rate ranged between 73 and 97.7 per cent of the test data.

A Practical Guide to Deconvolution of Fluorescence Microscope Imagery

2010 ◽  
Vol 18 (1) ◽  
pp. 10-14 ◽  
Author(s):  
David S.C. Biggs
Keyword(s):  
Optical Microscopy ◽  
Fluorescence Microscope ◽  
Ease Of Use ◽  
Routine Method ◽  
Light Optical Microscopy ◽  
The Past ◽  
Rate Limiting Step ◽  
Limiting Step ◽  
Microscopy Data ◽  
Rate Limiting

Over the past decade, deconvolution of 3D light optical microscopy data has advanced from an obscure technique employed by only a few dedicated souls to a routine method that is now available with all modern microscope systems. Dramatic increases in computer power, algorithm sophistication, and software ease of use have brought the power of deconvolution to the general microscope user, and processing large 3D datasets is no longer a rate-limiting step in the imaging process.

Temporal analysis of the diet of the central rock-rat

2013 ◽  
Vol 35 (1) ◽  
pp. 43 ◽  
Author(s):  
G. P. Edwards
Keyword(s):  
Microscopic Analysis ◽  
Temporal Analysis ◽  
Past Century ◽  
The West ◽  
Faecal Pellets ◽  
The Past ◽  
Faecal Samples ◽  
Dry Conditions ◽  
Central Australia ◽  
Solanum Spp

The central rock-rat (Zyzomys pedunculatus) is an endangered endemic rodent that has undergone a dramatic range contraction over the past century. It is currently known from only a small area of the West MacDonnell Ranges near Alice Springs. A previous investigation into the species’ diet that analysed a small number of faecal samples concluded tentatively that it was a granivore. The present study aimed to establish the dietary patterns of Z. pedunculatus across a two-year period in central Australia during which rainfall fluctuated markedly. Diet was determined through the microscopic analysis of material in faecal pellets of Z. pedunculatus trapped at approximately three-month intervals at five sites at Ormiston Gorge. Seed was found to be the most important dietary item, comprising on average 57.0% of the diet across sample periods. Under dry conditions, the amount of seed material in the diet declined and the amount of stem material increased. Plant material from 15 genera was recorded in the diet, most notably Sida spp., Solanum spp. and Triodia brizoides. All of the plant genera identified in the diet to date are widespread and common in the range country of central Australia and most are considered fire tolerant. On the basis that the diet contains more than 50% seeds, Z. pedunculatus can be described as a granivore. However, the diet is broad and includes both seeds and vegetative material from a range of plant species.

scholarly journals Vibration Condition Monitoring: Latest Trend and Review

2015 ◽  
Vol 773-774 ◽  
pp. 139-143
Author(s):  
K.H. Hui ◽  
L.M. Hee ◽  
M. Salman Leong ◽  
Ahmed M. Abdelrhman
Keyword(s):  
Decision Making ◽  
Fourier Transform ◽  
Condition Monitoring ◽  
Signal Analysis ◽  
Vibration Signal ◽  
Machine Learning Techniques ◽  
Vibration Condition ◽  
The Past ◽  
Analysis Methods ◽  
Vibration Signal Analysis

Vibration analysis has proven to be the most effective method for machine condition monitoring to date. Various effective signal analysis methods to analyze and extract fault signature that embedded in the raw vibration signals have been introduced in the past few decades such as fast Fourier transform (FFT), short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. however, these is still a need for human to interpret vibration signature of faults and it is regarded as one of the major challenge in vibration condition monitoring. Thus, most recent researches in vibration condition monitoring revolved around using Artificial Intelligence (AI) techniques to automate machinery faults detection and diagnosis. The most recent literatures in this area show that researches are mainly focus on using machine learning techniques for data fusion, features fusion, and also decisions fusion in order to achieve a higher accuracy of decision making in vibration condition monitoring. This paper provides a review on the most recent development in vibration signal analysis methods as well as the AI techniques used for automated decision making in vibration condition monitoring in the past two years.

New Approach to Pipeline Condition Monitoring of the Beatrice 16” Oil Export Line

2002 ◽  
Author(s):  
Gordon Short ◽  
Dave Flett
Keyword(s):  
Condition Monitoring ◽  
Oil And Gas ◽  
Integrated Approach ◽  
Detection Capability ◽  
New Approach ◽  
Pipeline Inspection ◽  
The Past ◽  
Oil Export ◽  
The Uk ◽  
Flux Leakage

The ability to detect corrosion within oil and gas pipelines has long been the preserve of the Intelligent or Smart Pig. These tools have evolved over the past 30 years into very sophisticated, but often expensive inspection options. Since 1994 RST Projects Limited, a Scottish based pipeline inspection company, has been pioneering the development of passive inspection tools that can be retrofitted to standard Cleaning or Utility Pigs. These tools are fundamentally different to traditional inspection pigs. Passive instruments (instruments which do not contain an active source or emitor, such as ultrasonic or magnetic flux leakage sensors), fitted to a Utility Pig are used to monitor its passage through a pipeline. Changes in the behaviour of the Utility Pig measured by these instruments have been demonstrated to reflect the condition of the pipeline. To date more than 40 projects, involving surveying some 4,000 km+ of operational pipelines have been completed. This paper presents the results of work undertaken to develop the first stages of a basic corrosion detection capability of the Smart Utility Pig tool. It does so by presenting findings from surveys of the 16” Beatrice Oil Export Pipeline, operated by Talisman Energy UK Limited. It also draws upon surveys carried out in other assets operated by Talisman in the UK. It explores how this technology when combined with other inspection methods offers the potential for a more integrated approach to routine pipeline condition monitoring.

Sign in / Sign up

Export Citation Format

Share Document