creator Dodds, Jacob creator Erogbogbo, Samad creator Fleming, Rachel creator Fujimoto, Haruko creator Hazariwala, Nirav creator Kim, Jihyung creator Lee, Sangwook creator Mcanally, Arthur creator Simons, Ray IPRO 303 is working on the user interface for SmartSignal Corporation’s software which predicts equipment failures in coal fired power plants. We are now in the third stage of the project. We are to deliver the user interface of the software based on the studies done by two previous semesters. SmartSignal suggested that we also consider specific elements of the software such as the clear presentation of developing fault information, and the efficient communication system between users. An appropriate UI will utilize SmartSignal’s predictive analysis software to provide an efficient and clear means for power plant personnel to: · Predict or identify equipment faults · Understand the predicted faults · Prioritize the disposition of the predicted faults or highlight urgent or important faults · Reduce the need for plant personnel to have many years of experience or “institutional knowledge” The ultimate goal of this project is to introduce an innovative approach to the user interface which SmartSignal can use for predicting equipment failures in coal fire power plants. To realize this, we set these objectives. · Research and collect information relative to the User Interfaces [UI] from the first hand users of the software while examining the study done by the previous IPRO303. · Create the Requirements Document for the UI in light of the concerns expressed by SmartSignal and the results of research. · Generate several possible UIs based upon the Requirements Document stated above. · Select one of the Several UI for development of details and revise it based upon the input from SmartSignal. · Add details and finalize the design of the selected UI. Submitted by Vishal Patel (vpatel87@iit.edu) on 2011-04-04T20:26:38Z No. of bitstreams: 9 Information Design for Plant Management to Predict Equipment Failure IPRO 303 Project Plan Sp08.pdf: 170681 bytes, checksum: 7ba3f8e3c9083afab896e1849b02a8ed (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 PosterSp08.pdf: 3345016 bytes, checksum: 70ff8d34f0f5bbd88fb413ef0b55200f (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Poster2 Sp08.pdf: 3047615 bytes, checksum: 6715ee5a7f79c208d40009a0c160c960 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 MidTerm ReportSp08.pdf: 82901 bytes, checksum: e6aab75dae7730b28af804b4fcccf632 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 MidTerm Presentation Sp08.pdf: 2824410 bytes, checksum: 910c0902aae5191122f4e9146eb00092 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Final ReportSp08.pdf: 3653009 bytes, checksum: 570e83a3079b8044e492ee2e5a3a20e1 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Final Presentation Sp08.pdf: 1735131 bytes, checksum: a2f811eeb366f325e1e8cc94093bf424 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Ethics Sp08.pdf: 26704 bytes, checksum: 16eb4929ead7d34449d55bcd370266eb (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Abstract Sp08.pdf: 20268 bytes, checksum: 315285bcb82b5582c0dc9ee6763c471f (MD5) Made available in DSpace on 2011-04-04T20:26:38Z (GMT). No. of bitstreams: 9 Information Design for Plant Management to Predict Equipment Failure IPRO 303 Project Plan Sp08.pdf: 170681 bytes, checksum: 7ba3f8e3c9083afab896e1849b02a8ed (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 PosterSp08.pdf: 3345016 bytes, checksum: 70ff8d34f0f5bbd88fb413ef0b55200f (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Poster2 Sp08.pdf: 3047615 bytes, checksum: 6715ee5a7f79c208d40009a0c160c960 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 MidTerm ReportSp08.pdf: 82901 bytes, checksum: e6aab75dae7730b28af804b4fcccf632 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 MidTerm Presentation Sp08.pdf: 2824410 bytes, checksum: 910c0902aae5191122f4e9146eb00092 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Final ReportSp08.pdf: 3653009 bytes, checksum: 570e83a3079b8044e492ee2e5a3a20e1 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Final Presentation Sp08.pdf: 1735131 bytes, checksum: a2f811eeb366f325e1e8cc94093bf424 (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Ethics Sp08.pdf: 26704 bytes, checksum: 16eb4929ead7d34449d55bcd370266eb (MD5) Information Design for Plant Management to Predict Equipment Failure IPRO 303 Abstract Sp08.pdf: 20268 bytes, checksum: 315285bcb82b5582c0dc9ee6763c471f (MD5) Previous issue date: 2008-05 SmartSignal Deliverables 2008 2008-05 http://hdl.handle.net/10560/1767 en Edmund C. Feldy PE Project deliverable born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Open Access IPRO / Interprofessional Projects Program Illinois Institute of Technology Affiliated department