Eksploatacja i Niezawodnosc-Maintenance and Reliability

Scope & Guideline

Connecting research and practice in manufacturing engineering.

Introduction

Welcome to your portal for understanding Eksploatacja i Niezawodnosc-Maintenance and Reliability, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1507-2711
PublisherPOLISH MAINTENANCE SOC
Support Open AccessYes
CountryPoland
TypeJournal
Convergefrom 2008 to 2024
AbbreviationEKSPLOAT NIEZAWODN / Eksploat. Niezawodn.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressUl Jagiellonska 80, Warsaw 03-301, POLAND

Aims and Scopes

The journal "Eksploatacja i Niezawodnosc-Maintenance and Reliability" focuses on the intersection of maintenance engineering and reliability analysis, providing a platform for innovative research that enhances the understanding and application of these fields. It aims to publish high-quality studies that contribute to the development of methodologies, technologies, and practices in maintenance and reliability across various industrial sectors.
  1. Reliability Engineering and Analysis:
    Research focused on methodologies for assessing and improving the reliability of systems and components, including probabilistic models, statistical analysis, and fault tree analysis.
  2. Maintenance Strategies and Optimization:
    Studies that explore various maintenance strategies, including predictive, preventive, and condition-based maintenance, emphasizing optimization techniques to enhance maintenance effectiveness.
  3. Condition Monitoring and Diagnostics:
    Research on techniques and technologies for monitoring the condition of machinery and equipment, including diagnostics methods, sensor technologies, and data analysis.
  4. Risk Assessment and Management:
    Papers that discuss risk analysis methods related to maintenance and reliability, including approaches for identifying, assessing, and mitigating risks associated with operational processes.
  5. Innovations in Manufacturing and Processing:
    Research that investigates modern manufacturing techniques and their impact on reliability and maintenance, such as the use of machine learning and advanced materials.
  6. Sustainability and Environmental Impact:
    Studies examining the relationship between maintenance practices and sustainability, focusing on reducing environmental impacts and enhancing resource efficiency.
The journal has shown a dynamic shift in focus towards new and emerging themes that reflect current technological advancements and industry needs. This section outlines those trending topics that are gaining attention in recent publications.
  1. Machine Learning and AI in Maintenance:
    Recent publications highlight the increasing integration of machine learning and artificial intelligence techniques in maintenance and reliability, showcasing their potential to enhance predictive maintenance and fault diagnosis.
  2. Digital Twins and Virtual Modeling:
    The concept of digital twins and virtual modeling is emerging as a significant trend, enabling real-time monitoring and predictive analysis of systems, thus improving maintenance strategies.
  3. Resilience Engineering:
    There is growing interest in resilience engineering, focusing on enhancing the robustness and adaptability of systems to withstand unexpected disruptions and maintain performance.
  4. Sustainability and Green Technologies:
    An increasing number of studies are addressing sustainability concerns in maintenance practices, exploring how to integrate eco-friendly technologies and reduce the environmental footprint of industrial operations.
  5. Advanced Condition Monitoring Technologies:
    Emerging technologies such as IoT (Internet of Things) and advanced sensor technologies are trending, with research focusing on their application in real-time condition monitoring and data analytics.

Declining or Waning

As the journal evolves, certain themes previously emphasized may show a decline in publication frequency or relevance. This section highlights those areas that are becoming less prominent in the current research landscape.
  1. Traditional Reliability Testing Methods:
    There is a noticeable decline in research focused on conventional reliability testing methods, as newer, more advanced approaches such as machine learning and data-driven methodologies gain traction.
  2. Static Maintenance Policies:
    The focus on static maintenance policies appears to be waning, as researchers increasingly favor dynamic and adaptive maintenance strategies that respond to real-time data and changing conditions.
  3. Single-Factor Failure Analysis:
    Research centered only on single-factor analyses of failure mechanisms is becoming less common, with a shift towards multi-faceted approaches that consider interactions between multiple factors.
  4. Generalized Maintenance Frameworks:
    The interest in broad, generalized frameworks for maintenance is decreasing, as more specialized and tailored approaches are developed to meet the unique needs of specific industries or technologies.

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