| Title |
Maintenance Practice Performance Assessment of Hydraulic Machinery: West Balkan Meta-Statistics and Energy-Based Maintenance Paradigm |
| ID_Doc |
64004 |
| Authors |
Orosnjak, M |
| Title |
Maintenance Practice Performance Assessment of Hydraulic Machinery: West Balkan Meta-Statistics and Energy-Based Maintenance Paradigm |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/ICSRS53853.2021.9660739 |
| Abstract |
As a consequence of accepting the Green Deal initiative, sustainable maintenance attracted significant attention. However, observation of low market intelligence and lack of sustainable goal-oriented practice has been reported. The article proposes the Energy-Based Maintenance (EBM) paradigm to fulfil the needs of sustainable manufacturing philosophy. The EBM implicitly consists of two concepts: Functional-Productiveness (FPC) and Comparative Functional Dynamics (CFD). Namely, the core of FPC is to propose a new view in understanding the nature of functionality by delineating static (maintenance) events (e.g., total failure, stoppage, etc.) from dynamic (process) events (e.g., quasi-faults, leakage, degradation). The CFD uses FPC and dynamic (process) events and acts as a catalyst in reducing noise in feature extraction by comparing system dynamics and energy consumption. Demonstration on a case study of proposed EBM practice is conducted and used as a measure of comparison with traditional maintenance practices (policies). However, the results show a reduction in oil waste and energy consumption at the cost of increasing inspection and stoppages. |
| Author Keywords |
predictive maintenance; energy-based maintenance; functional-productiveness; comparative functional dynamics; machine learning; hydraulic systems |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000850133700017 |
| WoS Category |
Automation & Control Systems; Transportation Science & Technology |
| Research Area |
Automation & Control Systems; Transportation |
| PDF |
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