Cost-optimal condition-monitoring for predictive maintenance of 2-phase systems

Maillart, Lisa M.; Pollock, Stephen M.

doi:10.1109/tr.2002.801846

Cited by 47 publications

(30 citation statements)

References 10 publications

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“…Failure prediction and conditionbased maintenance have become attractive research areas in the past decades, see e.g. [5][6][7][8]. But despite this fact, for the equipment under our observation there is no link, guideline and firm threshold for fixed time maintenance intervals specified in standards such as IEC, ISO, or specific ones such as MIL-STD and STANAGs.…”

Section: Introductionmentioning

confidence: 95%

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Vališ

Žák

Pokora

2015

Engineering Failure Analysis

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Section: Introductionmentioning

confidence: 95%

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Vališ

Žák

Pokora

2015

Engineering Failure Analysis

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“…A highly effective facility is dependent on maintenance interventions which not only provide a repair for the problem in hand but provide a long term solution which addresses the root causes of failure. Thus the Company can gain experience in fault diagnosis and can continuously improve its routine maintenance performance [4]. By performing regular 'health checks' on machines and recording results, trends can be identified over time, allowing the Company to initiate maintenance interventions before a possible breakdown.…”

Section: Maintenance Management and Process Capability In Aerospacementioning

confidence: 99%

Condition monitoring in the management of maintenance in a large scale precision CNC machining manufacturing facility

Ahmed

Day

Victory

et al. 2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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Abstract-The manufacture of large-scale precision aerospace components using CNC requires a highly effective maintenance strategy to ensure that the required accuracy can be achieved over many hours of production. This paper reviews a strategy for a maintenance management system based on Failure Mode Avoidance, which uses advanced techniques and technologies to underpin a predictive maintenance strategy. It is shown how condition monitoring (CM) is important to predict potential failures in high precision machining facilities and achieve intelligent and integrated maintenance management. There are two distinct ways in which CM can be applied. One is to monitor key process parameters and observe trends which may indicate a gradual deterioration of accuracy in the product. The other is the use of CM techniques to monitor high status machine parameters enables trends to be observed which can be corrected before machine failure and downtime occurs.It is concluded that the key to developing a flexible and intelligent maintenance framework in any precision manufacturing operation is the ability to evaluate reliably and routinely machine tool condition using condition monitoring techniques within a framework of Failure Mode Avoidance.

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“…This expression of the process U t allows the characterization of the optimal time between two renewal moments. Actually, according to equations (6) and (9)…”

Section: Optimality Of the Decision Rule For Preventive Maintenancementioning

confidence: 99%

Joint modelling and optimization of monitoring and maintenance performance for a two-unit parallel system

Barros

Grall

Bérenguer

2007

Proceedings of the Institution of Mechanical Engineers, Part O:

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This paper proposes a new methodology for optimizing maintenance and monitoring performance. The performance of the monitoring device is modelled classically by receiver operating characteristic (ROC) curves. From a practical point of view, this approach leads to a very simple optimization scheme in which the optimal monitoring technology or structure can be chosen among a finite set of possible ones, on the basis of their impact on the maintenance performance and their own cost. At the same time, the maintenance parameters are optimally tuned to adapt to the current monitoring quality level. Compared with previous work on the subject, this work allows the assessment of a more realistic integration between maintenance or reliability concerns and monitoring ones, owing to comprehensive reliability/maintenance/monitoring performance modelling.

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Cost-optimal condition-monitoring for predictive maintenance of 2-phase systems

Cited by 47 publications

References 10 publications

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Condition monitoring in the management of maintenance in a large scale precision CNC machining manufacturing facility

Joint modelling and optimization of monitoring and maintenance performance for a two-unit parallel system

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