Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis

Macián, Vicente; Tormos, Bernardo; Olmeda, Pablo; Montoro, Lino

doi:10.1016/s0301-679x(03)00060-4

Cited by 86 publications

(54 citation statements)

References 6 publications

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“…CAT Ltd maintains that the concentration of wear particles in oil is a key indicator of potential component problems. Hence, oil analysis techniques for condition monitoring offer significant potential benefits to operators [35]. For clarification, Ingalls and Barnes, president of TBR strategies and vice president of reliability service for DesCase, defined oil contaminants as dirt, water, air, wear debris and leaked coolant [36].…”

Section: Monitoring Hydraulic Systems To Predict Faultsmentioning

confidence: 99%

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

Harding

Glass

2017

Mechanical Systems and Signal Processing

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a b s t r a c tIt is common for original equipment manufacturers (OEMs) of high value products to provide maintenance or service packages to customers to ensure their products are maintained at peak efficiency throughout their life. To quickly and efficiently plan for maintenance requirements, OEMs require accurate information about the use and wear of their products. In recent decades, the aerospace industry in particular has become expert in using real time data for the purpose of product monitoring and maintenance scheduling. Significant quantities of real time usage data from product monitoring are commonly generated and transmitted back to the OEMs, where diagnostic and prognostic analysis will be carried out. More recently, other industries such as construction and automotive, are also starting to develop capabilities in these areas and condition based maintenance (CBM) is increasing in popularity as a means of satisfying customers' demands. CBM requires constant monitoring of real time product data by the OEMs, however the biggest challenge for these industries, in particular construction, is the lack of accurate and real time understanding of how their products are being used possibly because of the complex supply chains which exist in construction projects. This research focuses on current dynamic data acquisition techniques for mobile hydraulic systems, in this case the use of a mobile inline particle contamination sensor; the aim was to assess suitability to achieve both diagnostic and prognostic requirements of Condition Based Maintenance. It concludes that hydraulic oil contamination analysis, namely detection of metallic particulates, offers a reliable way to measure real time wear of hydraulic components.

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Section: Monitoring Hydraulic Systems To Predict Faultsmentioning

confidence: 99%

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

Harding

Glass

2017

Mechanical Systems and Signal Processing

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“…may offer organisations a viable route to plant optimisation and reduced operational costs. The importance of such techniques has been highlighted in previous literature by Carnero (2005), Hung et al (2003) and Macián et al, 2003).…”

Section: Barriers/deficits To Effective Maintenance Trainingmentioning

confidence: 99%

A critical analysis of maintenance training regimes for an industrialised economy

Chaplin

Hardiman

Naughton

2014

IJEME

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As a management paradigm, it is accepted that maintenance management is less well developed than other management activities. One of the reasons for this underdevelopment can be traced to the way maintenance personnel are trained during their vocational, undergraduate and initial professional development phases. Historical records for all vocational training and all current undergraduate courses in Ireland that include a maintenance training element were reviewed. This course of research aims to discover the reasons why such training is poorly resourced, especially in an era where access to statistical modelling and predictive maintenance tools is commonplace. Ireland provides an interesting locus for the research as Ireland has a rich manufacturing topography. The research has shown that despite a well-funded third level and further education sector, Ireland still suffers from poor levels of maintenance personnel training. This research will be of interest to senior managers concerned with enterprise optimisation.

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“…The birth-and-death process was adopted in their debris concentration model. According to Macia´n,6 the debris concentration of oil is influenced by numerous factors, including the working environment of the equipment, its oil consumption, and the frequency of oil replenishment and oil changes. However, filter retention efficiency was ignored, and random factors were not included in this model.…”

Section: Introductionmentioning

confidence: 99%

Correction strategies of debris concentration for engine wear monitoring via online visual ferrograph

Cao

Dong

Chen

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part J:

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Changing or replenishing the oil in an engine influences the accuracy of oil monitoring. An online visual ferrograph (OLVF) was used to monitor engine wear in this study. The variation in the debris concentration in an engine lubrication system was studied, and its equilibrium concentration of debris was determined to correct the data acquired using an OLVF after fresh oil was added to the system. This correction made the monitoring data of OLVF continuous, thereby enabling the raw data collected before and after oil replenishment to be compared. Changing the oil caused an interruption in the raw data. By combining different prediction modes, a comprehensive trend prediction framework was constructed to correct the data acquired after the engine's oil was changed. Thus, the data acquired before and after the oil change could be analysed and compared. In addition, the engine's whole wear trends could be observed. This correction strategy could also be used to assess the engine's health and to predict its degradation trend.

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Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis

Cited by 86 publications

References 6 publications

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

A critical analysis of maintenance training regimes for an industrialised economy

Correction strategies of debris concentration for engine wear monitoring via online visual ferrograph

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