A study of the condition monitoring of large mechanical equipment based on a health management theory for mechanical systems

2019 ◽  
Vol 61 (8) ◽  
pp. 448-457
Author(s):  
Gongtian Shen ◽  
Yuan Liu
Keyword(s):  
Condition Monitoring ◽  
Health Management ◽  
Mechanical Systems ◽  
Management Theory ◽  
Mechanical Equipment

scholarly journals Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease: An Integrative Review

2021 ◽  
Vol 18 (5) ◽  
pp. 2247
Author(s):  
Vestina Vainauskienė ◽  
Rimgailė Vaitkienė
Keyword(s):  
Public Health ◽  
Knowledge Management ◽  
Health Management ◽  
Patient Empowerment ◽  
Integrative Review ◽  
Management Theory ◽  
Self Management ◽  
Patient Knowledge ◽  
Knowledge Management Theory ◽  
Public Health Management

The non-development of the concept of patient knowledge empowerment for disease self-management and the non-development of the theory of patient knowledge empowerment in patients with chronic diseases, cause methodological inconsistency of patient empowerment theory and does not provide a methodological basis to present patient knowledge empowerment preconditions. Therefore, the aim of the present integrative review was to synthesize and critically analyze the patient knowledge enablers distinguished in the public health management theory, the knowledge sharing enablers presented in the knowledge management theory and to integrate them by providing a comprehensive framework of patient knowledge enablers. To implement the purpose of the study, in answering the study question of what patient knowledge empowerments are and across which levels of patient knowledge empowerment they operate, an integrative review approach was applied as proposed by Cronin and George. A screening process resulted in a final sample of 78 papers published in open access, peer-review journals in the fields of public health management and knowledge management theories. Based on the results of the study, the Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease Framework was created. It revealed that it is important to look at patient knowledge empowerment as a pathway across the empowerment levels through which both knowledge enablers identified in public health management theory and knowledge sharing enablers singled out in knowledge management theory operate. The integration of these two perspectives across patient empowerment levels uncovers a holistic framework for patient knowledge empowerment.

Model-based condition monitoring of guiding rails in electro-mechanical systems

2019 ◽  
Vol 120 ◽  
pp. 630-641 ◽  
Author(s):  
M. González ◽  
O. Salgado ◽  
X. Hernandez ◽  
J. Croes ◽  
B. Pluymers ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Mechanical Systems ◽  
Model Based

Prognostics and Health Management of Choke Valves Subject to Erosion

2013 ◽  
pp. 313-331
Author(s):  
Giulio Gola ◽  
Bent H. Nystad
Keyword(s):  
Condition Monitoring ◽  
Performance Monitoring ◽  
Oil And Gas ◽  
Health Management ◽  
Cost Savings ◽  
Remaining Useful Life ◽  
Work Processes ◽  
Offshore Oil And Gas ◽  
And Performance ◽  
Monitoring Technologies

Oil and gas industries are constantly aiming at improving the efficiency of their operations. In this respect, focus is on the development of technology, methods, and work processes related to equipment condition and performance monitoring in order to achieve the highest standards in terms of safety and productivity. To this aim, a key issue is represented by maintenance optimization of critical structures, systems, and components. A way towards this goal is offered by Condition-Based Maintenance (CBM) strategies. CBM aims at regulating maintenance scheduling based on data analyses and system condition monitoring and bears the potential advantage of obtaining relevant cost savings and improved operational safety and availability. A critical aspect of CBM is its integration with condition monitoring technologies for handling a wide range of information sources and eventually making optimal decisions on when and what to repair. In this chapter, a CBM case study concerning choke valves utilized in Norwegian offshore oil and gas platforms is proposed and investigated. The objective is to define a procedure for optimizing maintenance of choke valves by on-line monitoring their condition and determining their Remaining Useful Life (RUL). Choke valves undergo erosion caused by sand grains transported by the oil-water-gas mixture extracted from the well. Erosion is a critical problem which can affect the correct valve functioning, resulting in revenue losses and cause environmental hazards.

Modeling Multi-State Equipment Degradation with Non-Homogeneous Continuous-Time Hidden Semi-Markov Process

2013 ◽  
pp. 151-181 ◽  
Author(s):  
Ramin Moghaddass ◽  
Ming J Zuo ◽  
Xiaomin Zhao
Keyword(s):  
Condition Monitoring ◽  
Continuous Time ◽  
Degradation Process ◽  
Health Condition ◽  
Health Conditions ◽  
Mechanical Equipment ◽  
Technical Problems ◽  
Semi Markov Process ◽  
Overall Performance ◽  
Actual Health

The multi-state reliability analysis has received great attention recently in the domain of reliability and maintenance, specifically for mechanical equipment operating under stress, load, and fatigue conditions. The overall performance of this type of mechanical equipment deteriorates over time, which may result in multi-state health conditions. This deterioration can be represented by a continuous-time degradation process with multiple discrete states. In reality, due to technical problems, directly observing the actual health condition of the equipment may not be possible. In such cases, condition monitoring information may be useful to estimate the actual health condition of the equipment. In this chapter, the authors describe the application of a general stochastic process to multi-state equipment modeling. Also, an unsupervised learning method is presented to estimate the parameters of this stochastic model from condition monitoring data.

Prognostics and Health Management of Mechanical Systems

2013 ◽  
Vol 694-697 ◽  
pp. 872-875
Author(s):  
Jiang Chang ◽  
Fang Wei
Keyword(s):  
Health Management ◽  
Mechanical Systems ◽  
Smart Sensors ◽  
Electronic Systems ◽  
System Failure ◽  
Prognostics And Health Management ◽  
Critical Systems ◽  
Embedded Sensing ◽  
Safety Critical Systems ◽  
Self Test

Reliability is an important issue to consider for mechanical systems. The state of art is regular checkup and maintenance to ensure normal operations. This is not good enough for safety-critical systems like gearboxes in vehicles and helicopters because the risk of system failure still exists, let alone the manpower and monetary cost required. Prognostics and health management (PHM) was first raised by the U.S. armed force, which should ideally be able to predict faults and schedule maintenance only when necessary by monitoring the system condition. In this paper, inspired by the idea of Built-In Self Test (BIST) in electronic systems, we propose a novel framework to fulfill the task of prognostics and health management with a set of smart sensors, consisting of embedded sensing elements, wireless communication modules and micro-controllers. Both the significance and challenges of the framework are discussed.

Sign in / Sign up

Export Citation Format

Share Document