555,377 research outputs found
Maintenance Knowledge Management with Fusion of CMMS and CM
Abstract- Maintenance can be considered as an information, knowledge processing and management system. The management of knowledge resources in maintenance is a relatively new issue compared to Computerized Maintenance Management Systems (CMMS) and Condition Monitoring (CM) approaches and systems. Information Communication technologies (ICT) systems including CMMS, CM and enterprise administrative systems amongst others are effective in supplying data and in some cases information. In order to be effective the availability of high-quality knowledge, skills and expertise are needed for effective analysis and decision-making based on the supplied information and data. Information and data are not by themselves enough, knowledge, experience and skills are the key factors when maximizing the usability of the collected data and information. Thus, effective knowledge management (KM) is growing in importance, especially in advanced processes and management of advanced and expensive assets. Therefore efforts to successfully integrate maintenance knowledge management processes with accurate information from CMMSs and CM systems will be vital due to the increasing complexities of the overall systems.
Low maintenance effectiveness costs money and resources since normal and stable production cannot be upheld and maintained over time, lowered maintenance effectiveness can have a substantial impact on the organizations ability to obtain stable flows of income and control costs in the overall process. Ineffective maintenance is often dependent on faulty decisions, mistakes due to lack of experience and lack of functional systems for effective information exchange [10]. Thus, access to knowledge, experience and skills resources in combination with functional collaboration structures can be regarded as vital components for a high maintenance effectiveness solution.
Maintenance effectiveness depends in part on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. Maintenance effectiveness, to a large extent, also depends on the quality of the knowledge of the managers and maintenance operators and the effectiveness of the internal & external collaborative environments. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of ICT) in organizations, the conceptualization and implementation of E-Maintenance is turning into a reality. Unfortunately, even though knowledge management aspects are important in maintenance, the integration of KM aspects has still to find its place in E-Maintenance and in the overall information flows of larger-scale maintenance solutions. Nowadays, two main systems are implemented in most maintenance departments: Firstly, Computer Maintenance Management Systems (CMMS), the core of traditional maintenance record-keeping practices that often facilitate the usage of textual descriptions of faults and actions performed on an asset. Secondly, condition monitoring systems (CMS). Recently developed (CMS) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been limited in their approach and scalability. In this article we present one approach for addressing this challenge. We argue that understanding the requirements and constraints in conjunction - from maintenance, knowledge management and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful integration of such disparate data types and processes (also integrating knowledge management into the ādata typesā and processes)
Time-Frequency Analysis of Systems with Changing Dynamic Properties
Time-frequency analysis methods transform a time series into a two-dimensional representation
of frequency content with respect to time. The Fourier Transform identifies
the frequency content of a signal (as a sum of weighted sinusoidal functions) but
does not give useful information regarding changes in the character of the signal, as all
temporal information is encoded in the phase of the transform. A time-frequency representation,
by expressing frequency content at different sections of a record, allows
for analysis of evolving signals. The time-frequency transformation most commonly
encountered in seismology and civil engineering is a windowed Fourier Transform, or
spectrogram; by comparing the frequency content of the first portion of a record with
the last portion of the record, it is straightforward to identify the changes between
the two segments. Extending this concept to a sliding window gives the spectrogram,
where the Fourier transforms of successive portions of the record are assembled into a
time-frequency representation of the signal. The spectrogram is subject to an inherent
resolution limitation, in accordance with the uncertainty principle, that precludes
a perfect representation of instantaneous frequency content. The wavelet transform
was introduced to overcome some of the shortcomings of Fourier analysis, though
wavelet methods are themselves unsuitable for many commonly encountered signals.
The Wigner-Ville Distribution, and related refinements, represent a class of advanced
time-frequency analysis tools that are distinguished from Fourier and wavelet
methods by an increase in resolution in the time-frequency plane. I introduce several
time-frequency representations and apply them to various synthetic signals as well as
signals from instrumented buildings.
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For systems of interest to engineers, investigating the changing properties of a
system is typically performed by analyzing vibration data from the system, rather
than direct inspection of each component. Nonlinear elastic behavior in the forcedisplacement
relationship can decrease the apparent natural frequencies of the system
- these changes typically occur over fractions of a second in moderate to strong excitation
and the system gradually recovers to pre-event levels. Structures can also suffer
permanent damage (e.g., plastic deformation or fracture), permanently decreasing the
observed natural frequencies as the system loses stiffness. Advanced time-frequency
representations provide a set of exploratory tools for analyzing changing frequency
content in a signal, which can then be correlated with damage patterns in a structure.
Modern building instrumentation allows for an unprecedented investigation into
the changing dynamic properties of structures: a framework for using time-frequency
analysis methods for instantaneous system identification is discussed
AIDIS: Detecting and Classifying Anomalous Behavior in UbiquitousKernel Processes
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Targeted attacks on IT systems are a rising threat against the confidentiality, integrity, and availability of critical information and infrastructures. With the rising prominence of advanced persistent threats (APTs), identifying and under-standing such attacks has become increasingly important. Current signature-based systems are heavily reliant on fixed patterns that struggle with unknown or evasive applications, while behavior-based solutions usually leave most of the interpretative work to a human analyst.In this article we propose AIDIS, an Advanced Intrusion Detection and Interpretation System capable to explain anomalous behavior within a network-enabled user session by considering kernel event anomalies identified through their deviation from a set of baseline process graphs. For this purpose we adapt star-structures, a bipartite representation used to approximate the edit distance be-tween two graphs. Baseline templates are generated automatically and adapt to the nature of the respective operating system process.We prototypically implemented smart anomaly classification through a set of competency questions applied to graph template deviations and evaluated the approach using both Random Forest and linear kernel support vector machines.The determined attack classes are ultimately mapped to a dedicated APT at-tacker/defender meta model that considers actions, actors, as well as assets and mitigating controls, thereby enabling decision support and contextual interpretation of ongoing attack
Bridges Structural Health Monitoring and Deterioration Detection Synthesis of Knowledge and Technology
INE/AUTC 10.0
Memories for Life: A Review of the Science and Technology
This paper discusses scientific, social and technological aspects of memory. Recent developments in our understanding of memory processes and mechanisms, and their digital implementation, have placed the encoding, storage, management and retrieval of information at the forefront of several fields of research. At the same time, the divisions between the biological, physical and the digital worlds seem to be dissolving. Hence opportunities for interdisciplinary research into memory are being created, between the life sciences, social sciences and physical sciences. Such research may benefit from immediate application into information management technology as a testbed. The paper describes one initiative, Memories for Life, as a potential common problem space for the various interested disciplines
Neural Networks for Modeling and Control of Particle Accelerators
We describe some of the challenges of particle accelerator control, highlight
recent advances in neural network techniques, discuss some promising avenues
for incorporating neural networks into particle accelerator control systems,
and describe a neural network-based control system that is being developed for
resonance control of an RF electron gun at the Fermilab Accelerator Science and
Technology (FAST) facility, including initial experimental results from a
benchmark controller.Comment: 21 p
Developing information architecture through records management classification techniques
Purpose ā This work aims to draw attention to information retrieval philosophies and techniques allied to the records management profession, advocating a wider professional consideration of a functional approach to information management, in this instance in the development of information architecture. Design/methodology/approach ā The paper draws from a hypothesis originally presented by the author that advocated a viewpoint whereby the application of records management techniques, traditionally applied to develop business classification schemes, was offered as an additional solution to organising information resources and services (within a university intranet), where earlier approaches, notably subject- and administrative-based arrangements, were found to be lacking. The hypothesis was tested via work-based action learning and is presented here as an extended case study. The paper also draws on evidence submitted to the Joint Information Systems Committee in support of the Abertay University's application for consideration for the JISC award for innovation in records and information management. Findings ā The original hypothesis has been tested in the workplace. Information retrieval techniques, allied to records management (functional classification), were the main influence in the development of pre- and post-coordinate information retrieval systems to support a wider information architecture, where the subject approach was found to be lacking. Their use within the workplace has since been extended. Originality/value ā The paper advocates that the development of information retrieval as a discipline should include a wider consideration of functional classification, as this alternative to the subject approach is largely ignored in mainstream IR works
The organizational implications of medical imaging in the context of Malaysian hospitals
This research investigated the implementation and use of medical imaging in the
context of Malaysian hospitals. In this report medical imaging refers to PACS,
RIS/HIS and imaging modalities which are linked through a computer network. The
study examined how the internal context of a hospital and its external context
together influenced the implementation of medical imaging, and how this in turn
shaped organizational roles and relationships within the hospital itself. It further
investigated how the implementation of the technology in one hospital affected its
implementation in another hospital. The research used systems theory as the
theoretical framework for the study. Methodologically, the study used a case-based
approach and multiple methods to obtain data. The case studies included two
hospital-based radiology departments in Malaysia.
The outcomes of the research suggest that the implementation of medical imaging in
community hospitals is shaped by the external context particularly the role played by
the Ministry of Health. Furthermore, influences from both the internal and external
contexts have a substantial impact on the process of implementing medical imaging
and the extent of the benefits that the organization can gain. In the context of roles
and social relationships, the findings revealed that the routine use of medical
imaging has substantially affected radiographersā roles, and the social relationships
between non clinical personnel and clinicians. This study found no change in the
relationship between radiographers and radiologists. Finally, the approaches to
implementation taken in the hospitals studied were found to influence those taken by
other hospitals.
Overall, this study makes three important contributions. Firstly, it extends Barleyās
(1986, 1990) research by explicitly demonstrating that the organizationās internal and
external contexts together shape the implementation and use of technology, that the
processes of implementing and using technology impact upon roles, relationships
and networks and that a role-based approach alone is inadequate to examine the
outcomes of deploying an advanced technology. Secondly, this study contends that
scalability of technology in the context of developing countries is not necessarily
linear. Finally, this study offers practical contributions that can benefit healthcare
organizations in Malaysia
Ride quality criteria and the design process
Conceptual designs for advanced ground transportation systems often hinge on obtaining acceptable vehicle ride quality while attempting to keep the total guideway cost (initial and subsequent maintenance) as low as possible. Two ride quality standards used extensively in work sponsored by the U.S. Department of Transportation (DOT) are the DOT-Urban Tracked Air Cushion Vehicle (UTACV) standard and the International Standards Organization (ISO) reduced ride comfort criteria. These standards are reviewed and some of the deficiencies, which become apparent when trying to apply them in practice, are noted. Through the use of a digital simulation, the impact of each of these standards on an example design process is examined. It is shown that meeting the ISO specification for the particular vehicle/guideway case investigated is easier than meeting the UTACV standard
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