Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Operations Research, Systems Engineering and Industrial Engineering (4)
- Mechanical Engineering (3)
- Acoustics, Dynamics, and Controls (2)
- Electrical and Computer Engineering (2)
- Ergonomics (2)
-
- Industrial Engineering (2)
- Other Engineering (2)
- Physical Sciences and Mathematics (2)
- Aerospace Engineering (1)
- Chemical Engineering (1)
- Civil and Environmental Engineering (1)
- Computer Engineering (1)
- Computer-Aided Engineering and Design (1)
- Controls and Control Theory (1)
- Energy Systems (1)
- Environmental Health and Protection (1)
- Environmental Sciences (1)
- Forest Management (1)
- Forest Sciences (1)
- Industrial Technology (1)
- Life Sciences (1)
- Materials Science and Engineering (1)
- Mining Engineering (1)
- Navigation, Guidance, Control and Dynamics (1)
- Other Operations Research, Systems Engineering and Industrial Engineering (1)
- Polymer Science (1)
- Power and Energy (1)
- Probability (1)
- Keyword
-
- Aging of fiber-reinforced polymer composites (1)
- Analytics (1)
- Artificial Intelligence (AI) (1)
- Assessment (1)
- Automated PPE Monitoring (1)
-
- Bayesian optimization (1)
- Belief function (1)
- Covariance matrix adaptation evolutionary strategy (1)
- Decision making under ambiguity (1)
- Drilling (1)
- Economics (1)
- Estimation (1)
- Exploratory (1)
- Falsification (1)
- Foraging (1)
- Forecasting (1)
- Lidar (1)
- Localized muscle fatigue (1)
- Longwall Coal Mining (1)
- MDP (1)
- Machine Learning (ML) (1)
- Management (1)
- Manufacturing Workers (1)
- Methane Detection (1)
- Modeling (1)
- Monte Carlo tree search (1)
- Multi-Nodal System (1)
- Musculoskeletal disorders (1)
- PPE Compliance (1)
- PPE Violations (1)
Articles 1 - 9 of 9
Full-Text Articles in Risk Analysis
Using Probabilistic Risk Assessment In Drilling R&D Projects, Jacob Matthew Smith
Using Probabilistic Risk Assessment In Drilling R&D Projects, Jacob Matthew Smith
Graduate Theses, Dissertations, and Problem Reports (ETD)
Well drilling, since its inception, has always carried an intrinsic quantity of risk. Economically, the evolution of data analytics and the tools available to operators provide the opportunity to transform the lessons learned from previous well drilling endeavors into bottom line improvements. Additionally, methods for forecasting and risk management of potential trouble areas have significantly advanced due to the abundance of empirical data from prior drilling operations. Probabilistic Risk Assessment is a viable method through which risk can be tracked and mitigated in project management. Coupled with this data, the usage of Probabilistic Risk Assessment (PRA) provides a quantified, trackable …
On Uncertainty For Ill-Posed Robot Decision Problems, Jared Joseph Beard
On Uncertainty For Ill-Posed Robot Decision Problems, Jared Joseph Beard
Graduate Theses, Dissertations, and Problem Reports (ETD)
As robots adopt more real world responsibilities, they will be expected to solve more complicated problems. In some cases limited prior knowledge will result in unmodelled environmental conditions; in others, multiple users may have competing perspectives on how to frame a decision problem. Many existing frameworks, namely Markov decision processes (MDP) presuppose users have identified a specific problem with models sufficient to solve or learn a problem. If we wish to extend MDPs to novel problems or those heavily dependent on user feedback, autonomous decision makers must be able to identify limitations in how a given problem is framed and …
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems, Joshua M. Yancosek
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems, Joshua M. Yancosek
Graduate Theses, Dissertations, and Problem Reports (ETD)
The rigorous safety verification of control systems in critical applications is essential, given their in creasing complexity and integration into everyday life. Simulation-based falsification approaches play a pivotal role in the safety verification of control systems, particularly within critical applications. These methods systematically explore the operational space of systems to identify configurations that result in violations of safety specifications. However, the effectiveness of traditional simulation based falsification is frequently limited by the high dimensionality of the search space and the sub stantial computational resources required for exhaustive exploration. This thesis presents Bayesian Evolutionary Approach for COuNterexample, or BEACON, a novel …
Improving The Health And Safety Of Manufacturing Workers By Detecting And Addressing Personal Protective Equipment (Ppe) Violations In Real-Time With The Use Of Automated Ppe Detection Technology, Joseph Olufemi Fasinu
Improving The Health And Safety Of Manufacturing Workers By Detecting And Addressing Personal Protective Equipment (Ppe) Violations In Real-Time With The Use Of Automated Ppe Detection Technology, Joseph Olufemi Fasinu
Graduate Theses, Dissertations, and Problem Reports (ETD)
The Centers for Disease Control and Prevention (CDC) emphasized that Personal Protective Equipment (PPE) can significantly reduce the risk of occupational injuries and illnesses. However, improper use, failure to use, and other PPE-related violations can still result in injuries and fatalities. Eye and face protection violation has been one of the top 10 most frequently violated OSHA standards in fiscal years 2018, 2019, 2020, 2021 and 2022 consecutively. A common practice among safety professionals to ensure PPE compliance has been to physically inspect or monitor PPE usage among workers, which has been found to be unsustainable on a continuous real-time …
Improving Real-Time Methane Monitoring In Longwall Coal Mines Through System Response Characterization Of A Multi-Nodal Methane Detection Network, Brian Philip Cappellini
Improving Real-Time Methane Monitoring In Longwall Coal Mines Through System Response Characterization Of A Multi-Nodal Methane Detection Network, Brian Philip Cappellini
Graduate Theses, Dissertations, and Problem Reports (ETD)
Machine automation and atmospheric monitoring are used by many industries to improve safety and productivity in the workplace. The underground Methane Watchdog System (MWS) is a multi-nodal network of sensors currently under development. The MWS aims to improve safety and productivity by introducing 10 compact sampling units designed to be easily integrated within the current roof support equipment of the mine. Each unit contains an array of sensors used to continuously monitor the environmental conditions which include methane concentration, temperature, pressure, and relative humidity. All MWS units report information back to a remote central processing hub (CPH) which collects nodal …
Assessment Of Unmanned Aerial Systems And Lidar For The Utility Vegetation Management Of Electrical Distribution Rights-Of-Ways, Matthew R. Walker
Assessment Of Unmanned Aerial Systems And Lidar For The Utility Vegetation Management Of Electrical Distribution Rights-Of-Ways, Matthew R. Walker
Graduate Theses, Dissertations, and Problem Reports (ETD)
Utility Vegetation Management (UVM) is often the largest maintenance expense for many utilities. However, with advances in Unmanned Aerial Systems (UAS; or more commonly, “drones”) and lidar technologies, vegetation managers may be able to more rapidly and accurately identify vegetation threats to critical infrastructures. The goal of this study was to assess the utility of Geodetics’ UAS-lidar system for vegetation threat assessment for 1.6 km of a distribution electric circuit. We investigated factors which contribute to accurate tree crown detection and segmentation of trees from within an UAS-lidar derived point cloud, and the factors which contribute to accurate tree risk …
Analysis Of Factors Influencing The Stationarity Of Surface Electromyography Signals Measured In Non-Fatigued Shoulder Muscles, Hui Ci
Graduate Theses, Dissertations, and Problem Reports (ETD)
A reduction in the % stationarity of surface electromyography (SEMG) signals with respect to the initial or fresh condition is used to predict localized muscle fatigue. However, factors other than muscle fatigue can also influence the stationarity of SEMG signals. This study was aimed at analyzing the effect of various work/task related factors on the stationarity of SEMG signals obtained from non-fatigued shoulder muscles. Twelve participants were recruited for data collection and each one performed 120 trials characterized by the combination of 2 shoulder angles (60° and 120°), 2 planes of exertions (sagittal and scapular), 3 force levels (0lb, 2.5lb, …
Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim
Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim
Graduate Theses, Dissertations, and Problem Reports (ETD)
The impact of work-related musculoskeletal disorders (WMSDs) is enormous due to a combination of direct and indirect costs associated with healthcare, lost workdays and human suffering. Because of the established relationship between Localized Muscle Fatigue (LMF) development and WMSDs, and in order to reduce and/or prevent WMSDs in workplaces, different fatigue assessment methods have been developed. Surface Electromyography (SEMG) is a commonly used LMF assessment technique. The SEMG signals are typically analyzed in time and frequency domains to predict LMF based on a relative change with respect to initial, or under no-fatigue conditions. Quantifying such change, however, relies on the …
Time-Dependent Reliability Framework For Durability Design Of Frp Composites, Rajneesh Kumar Bharil
Time-Dependent Reliability Framework For Durability Design Of Frp Composites, Rajneesh Kumar Bharil
Graduate Theses, Dissertations, and Problem Reports (ETD)
The life-cycle performance, durability, and aging characteristics of Fiber Reinforced Polymer (FRP or Structural Composites) have been of keen interest to the engineers engaged in the FRP design, construction, and manufacturing. Unlike conventional construction materials such as steel and concrete, the design guidelines to account for the aging of FRP are somewhat scattered or not available in an approved or consistent format. Loss of strength over time or aging of any structural material should be of concern to engineers as the in-service lifespan of many engineering structures is expected to exceed 100 years. Use of durability strength-reduction factors or factors …