Intelligent performance measures for condition‐based maintenance

Juuso, Esko; Lahdelma, Sulo

doi:10.1108/jqme-05-2013-0026

Cited by 13 publications

(8 citation statements)

References 23 publications

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“…Real time condition monitoring data should be continuously collected ( Juuso and Lahdelma, 2013). Condition monitoring constantly measures and analyzes the relevant mechanical component parameters during operation to determine the condition and failure state (Gerdes et al, 2016).…”

Section: Online Condition Monitoringmentioning

confidence: 99%

Impact of condition monitoring on reciprocating compressor efficiency

Townsend¹,

Badar

2018

JQME

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Purpose Reciprocating compressors offer an efficient method of compressing almost any gas composition in a wide range of pressures and have numerous applications. Condition monitoring of critical rotating machinery is widely accepted by operators of centrifugal compressors. However, condition monitoring of reciprocating machinery has not received the same degree of acceptance. An earlier study (Townsend et al., 2016) was conducted on temperature monitoring. The purpose of this paper is to examine the impact of continuous pressure monitoring on electric-driven compressors. Design/methodology/approach This research analyzes the impact of continuous pressure monitoring on a fleet of 14 compressors transporting CO2 for enhanced oil recovery. The reliability and efficiency data on 14 reciprocating compressors over a three-year period were analyzed for failures detectable by the condition monitoring technology. The engineering economic analysis is presented to determine the impact this technology will have on the productivity of the compressors. Findings The study considers utilizing condition monitoring technology to analyze the pressure of the swept volume of the compressor cylinders. The results of the study indicate that continuous pressure monitoring technology has a strong impact on the productivity of the compressor fleet. The internal rate of return not only exceeds the operators hurdle rate, but the payback period is also dramatic. Pressure monitoring was found to be economically better than temperature monitoring. Originality/value The study reveals the economic benefits of implementing condition monitoring in the form of continuous pressure monitoring on reciprocating compressors.

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Section: Online Condition Monitoringmentioning

confidence: 99%

Impact of condition monitoring on reciprocating compressor efficiency

Townsend¹,

Badar

2018

JQME

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“…Most researchers focussed only on one aspect of the performance measurements. Indeed, it is essential to consider various aspects when assessing the current best practice (Juuso and Lahdelma, 2013). Based on the preceding discussion, this study seeks to evaluate the overall maintenance performance (maintenance effectiveness) in the aspect of maintenance downtime variance (time), maintenance expenditure variance (cost) and customer satisfaction (quality).…”

Section: Maintenance Effectivenessmentioning

confidence: 99%

Influences of key stakeholders’ involvement in maintenance management

Au-Yong

Ali

Ahmad

et al. 2017

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Purpose Proper maintenance management ensures a long-term investment and provides a support function in business continuity to achieve organisational goal. However, inadequate involvement and participation of key stakeholders in maintenance management limit the continuous improvement of maintenance performance. Currently, there is a lack of studies about the influence of key stakeholders’ involvement in maintenance. Thus, the purpose of this paper is to deal with enhancement of maintenance management through the involvement of key stakeholders. Design/methodology/approach This research adopted a mixed method approach to determine the relationship between involvement of key stakeholders in maintenance management and maintenance effectiveness. The approach comprised of literature review, questionnaire survey and semi-structured interviews. Findings This research suggests a positive correlation between involvement of maintenance manager (MM), maintenance staff, organisation, user and maintenance service provider (SP) in improving the effectiveness of maintenance management. The logistic regression analysis indicated that the involvement of MM and SP are significant predictors of maintenance effectiveness. The research further identified that there was a lack of involvement of the user and SP in maintenance management. Originality/value The research demonstrated that all key stakeholders should value the important roles of their participation in maintenance management to ensure an optimum return on a long-term investment. To create the awareness for the involvement of key stakeholders in building maintenance, studies on the advantages of participating in building maintenance and the impacts of ignorant towards building maintenance can be beneficial to the industry.

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“…The levels and their improvements are represented in natural language, e.g. 'excellent improvement from poor performance to good performance' [5]. Aggregation is needed for the information obtained from other levels.…”

Section: Managementmentioning

confidence: 99%

“…Advanced signal processing and feature extraction is combined with nonlinear scaling to obtain condition and stress indices in [33]. More information can be collected with reliability-centered maintenance (RCM) [5], and finally, all this can be monitored with statistical process control (SPC) [40].…”

Section: Monitoring and Controlmentioning

confidence: 99%

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Intelligent Performance Analysis with a Natural Language Interface

Juuso¹

2017

Management Systems in Production Engineering

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Abstract:Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

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Intelligent performance measures for condition‐based maintenance

Cited by 13 publications

References 23 publications

Impact of condition monitoring on reciprocating compressor efficiency

Impact of condition monitoring on reciprocating compressor efficiency

Influences of key stakeholders’ involvement in maintenance management

Intelligent Performance Analysis with a Natural Language Interface

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