System Diagnosis and Fault Mitigation Strategies for an Automated Manual Transmission

2017 ◽  
Author(s):  
Simon J. H. Trask ◽  
Greg J. Jankord ◽  
Aditya A. Modak ◽  
Brian M. Rahman ◽  
Giorgio Rizzoni ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Fault Detection ◽  
Failure Modes ◽  
Mathematical Structure ◽  
Mitigation Strategies ◽  
Manual Transmission ◽  
Automated Manual Transmission ◽  
The Ohio State University ◽  
Diagnostic Capabilities ◽  
And Control

The introduction of hybrid vehicle architectures into the mass car market has dramatically increased fault detection and mitigation strategies seen in vehicles to match the growth in potential failures coming from increasingly complex powertrain architectures. To meet this increased demand for fault detection and mitigation of multiple powertrain components, advanced methodologies have been developed to determine the functional safety of systems. This paper focuses on the use of one of those advanced methodologies, structural analysis, to develop the design, implementation, diagnostics, and control of a prototype automated manual transmission. Structural analysis is the concept of analyzing the mathematical structure of a system to determine the diagnostic capabilities of sensors in the system. From this information, a controls strategy can be developed to address potential failure modes of a system utilizing the derived equations and knowledge of which sensors provide coverage for failure modes analyzed. Moreover, the need for additional sensors can be determined through this analysis. Using structural analysis, the Ohio State University EcoCAR 3 research team carried out a diagnostic and mitigation study during the development of their automated manual transmission.

Sensor Placement Analysis for Fault Detectability and Isolability of an Automated Manual Transmission

2014 ◽  
Author(s):  
Qi Chen ◽  
Qadeer Ahmed ◽  
Giorgio Rizzoni
Keyword(s):  
Structural Analysis ◽  
Failure Mode ◽  
Health Monitoring ◽  
Structural Model ◽  
Sensor Placement ◽  
Fault Modeling ◽  
Manual Transmission ◽  
Systematic Methodology ◽  
Automated Manual Transmission ◽  
Sensor Locations

This paper presents a systematic methodology to identify the sensor placements to maximize the detection and isolation of faults that can affect the performance of Automated Manual Transmissions (AMT). A set of critical faults has been identified using Failure Mode and Effects Analysis (FMEA). A detailed fault modeling has been performed for AMT and the model has been simulated to demonstrate the faults effect on AMT functions. The structurally over-determined part of AMT is determined using the concepts of structural analysis that utilizes AMT structural model. The analysis assists in shortlisting the critical sensors locations for health monitoring of AMT. The results show that the proposed sensors set is economical and the sensor locations ensure the detectability and isolability of the critical faults.

scholarly journals Research Progress of Desertification and Its Prevention in Mongolia

2021 ◽  
Vol 13 (12) ◽  
pp. 6861
Author(s):  
Xiya Liang ◽  
Pengfei Li ◽  
Juanle Wang ◽  
Faith Ka Shun Chan ◽  
Chuluun Togtokh ◽  
...  
Keyword(s):  
Model Development ◽  
Mitigation Strategies ◽  
Research Progress ◽  
Prevention Measures ◽  
Interdisciplinary Approaches ◽  
The World ◽  
Impacting Factors ◽  
Decoupling Analysis ◽  
And Control ◽  
The Relationship

Mongolia is a globally crucial region that has been suffering from land desertification. However, current understanding on Mongolia’s desertification is limited, constraining the desertification control and sustainable development in Mongolia and even other parts of the world. This paper studied spatiotemporal patterns, driving factors, mitigation strategies, and research methods of desertification in Mongolia through an extensive review of literature. Results showed that: (i) remote sensing monitoring of desertification in Mongolia has been subject to a relatively low spatial resolution and considerable time delay, and thus high-resolution and timely data are needed to perform a more precise and timely study; (ii) the contribution of desertification impacting factors has not been quantitatively assessed, and a decoupling analysis is desirable to quantify the contribution of factors in different regions of Mongolia; (iii) existing desertification prevention measures should be strengthened in the future. In particular, the relationship between grassland changes and husbandry development needs to be considered during the development of desertification prevention measures; (iv) the multi-method study (particularly interdisciplinary approaches) and desertification model development should be enhanced to facilitate an in-depth desertification research in Mongolia. This study provides a useful reference for desertification research and control in Mongolia and other regions of the world.

scholarly journals Use of failure modes and effects analysis to mitigate potential risks prior to implementation of an intravenous compounding technology

2021 ◽  
Author(s):  
Agnes Ann Feemster ◽  
Melissa Augustino ◽  
Rosemary Duncan ◽  
Anand Khandoobhai ◽  
Meghan Rowcliffe
Keyword(s):  
Medication Safety ◽  
Failure Modes ◽  
Risk Mitigation ◽  
New Technology ◽  
Hazard Index ◽  
Mitigation Strategies ◽  
Investigational Drug ◽  
Workflow Optimization ◽  
Proactive Approach ◽  
Risk Mitigation Strategies

Abstract Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose The purpose of this study was to identify potential failure points in a new chemotherapy preparation technology and to implement changes that prevent or minimize the consequences of those failures before they occur using the failure modes and effects analysis (FMEA) approach. Methods An FMEA was conducted by a team of medication safety pharmacists, oncology pharmacists and technicians, leadership from informatics, investigational drug, and medication safety services, and representatives from the technology vendor. Failure modes were scored using both Risk Priority Number (RPN) and Risk Hazard Index (RHI) scores. Results The chemotherapy preparation workflow was defined in a 41-step process with 16 failure modes. The RPN and RHI scores were identical for each failure mode because all failure modes were considered detectable. Five failure modes, all attributable to user error, were deemed to pose the highest risk. Mitigation strategies and system changes were identified for 2 failure modes, with subsequent system modifications resulting in reduced risk. Conclusion The FMEA was a useful tool for risk mitigation and workflow optimization prior to implementation of an intravenous compounding technology. The process of conducting this study served as a collaborative and proactive approach to reducing the potential for medication errors upon adoption of new technology into the chemotherapy preparation process.

Diagnosis of Turbine Engine Transient Performance With Model-Based Parameter Estimation Techniques

1994 ◽  
Author(s):  
Jeff W. Bird ◽  
Howard M. Schwartz
Keyword(s):  
Gas Turbine ◽  
Test Data ◽  
Physical Models ◽  
Turbine Engine ◽  
Robustness To Noise ◽  
Linear Effects ◽  
Diagnostic Capabilities ◽  
Engine Components ◽  
And Control ◽  
Parameter Estimation Techniques

This review surveys knowledge needed to develop an improved method of modelling the dynamics of gas turbine performance for fault diagnosis applications. Aerothermodynamic and control models of gas turbine processes are examined as complementary to models derived directly from test data. Extensive, often proprietary data are required for physical models of components, while system identification (SI) methods need data from specially-designed tests. Current methods are limited in: tuning models to test data, non-linear effects, component descriptions in SI models, robustness to noise, and inclusion of control systems and actuators. Conclusions are drawn that SI models could be formulated, with parameters which describe explicitly the functions of key engine components, to offer improved diagnostic capabilities.

scholarly journals PSIX-1 Altering dietary fiber components mitigates severity of Brachyspira hyodysentariae challenge

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 190-191
Author(s):  
Emma T Helm ◽  
Nicholas Gabler ◽  
Eric R Burrough
Keyword(s):  
Dietary Fiber ◽  
Potato Starch ◽  
Dietary Treatment ◽  
Mitigation Strategies ◽  
Post Inoculation ◽  
Insoluble Dietary Fiber ◽  
Beet Pulp ◽  
Pig Performance ◽  
Swine Herds ◽  
And Control

Abstract Swine dysentery (SD) induced by Brachyspira hyodysentariae (Bhyo) has recently become more prevalent in swine herds, renewing research interest regarding dietary mitigation strategies. It has been reported that insoluble dietary fiber such as DDGS influences Bhyo colonization leading to more rapid disease development. Therefore, the objective of this study was to determine if replacement of insoluble (20% DDGS) with soluble and highly fermentable [sugar beet pulp (BP) and resistant potato starch (RS)] fiber would reduce Bhyo disease expression. At total of 38 pigs (40.9 ± 5.0 kg BW) were selected, confirmed negative for Bhyo, and allocated to dietary treatment groups (13 pigs/trt): 1) Control consisting of 20% DDGS, no BP or RS (0%), 2) 10% DDGS, 5% BP and 5% RS (5%), or 3) 0% DDGS, 10% BP, 10% RS (10%). All diets were formulated to be isocaloric and isonitrogenous. Diets were fed for 14 days pre-challenge and on days post inoculation (dpi) 0, all pigs were inoculated with Bhyo. Pigs and feeders were weighed weekly for 28 dpi. Overall, ADG was greater in both 5% (0.85 kg/d) and 10% (1.18 kg/d) pigs compared with 0% pigs (0.63 kg/d; P=0.004). The 10% pigs (2.46 kg/d) had greater ADFI compared with the 0% pigs (1.84 kg/d; P=0.024), 5% pigs being intermediate (2.20 kg/d). The 10% pigs also had greater G:F compared with both the 0% and 5% pigs (P< 0.001). In terms of clinical disease presentation, 11/13 0% pigs developed clinical SD compared with 6/13 5% pigs and only 2/13 10% pigs (P=0.002). In conclusion, while not completely protective, reducing insoluble dietary fiber via replacement with soluble and fermentable BP and RS reduced clinical SD and improved pig performance during a 28-day Bhyo challenge. These data suggest such dietary manipulation may reduce usage of antibiotics in SD treatment and control.

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