Pinned Repositories
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Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Decision-Systems-for-Engineering-Design-
Sampling Plans | Knowledge Discovery | Optimization | Decision Support
Industrial-Automation---PLC---ICT4---Conveyor-Sorting-System-w--HMI-
- Siemens TIA Portal - PLC - Bytronic Kit - HMI - PID Controller - Simumatik (Digital Twin) - Brief Discription The ICT4 is a representation of a typical industrial automation system and includes component sorting, assembly, inspection and accept/reject processes. The ICT4 can be connected to a PC through a USB connection or to a PLC using the 24V D connectors. The system has been designed to realistically represent a component sorting, assembly and inspection process that can be controlled from a PC and virtually any PLC that is commonly available. The ICT4 consists of a chain conveyor and belt conveyor that are fitted with a variety of industrial sensors and 24V d.c. actuators. In principle, the ICT4 is designed to sort an aluminium peg from a plastic ring, assemble the ring on top of the peg and then determine whether they have been correctly assembled before either accepting or rejecting the part. The components are initially randomly placed on the chain conveyor which lifts them to a higher level. When the higher level is reached, the plastic components are detected by an infra-red sensor and ejected by a solenoid down an assembly chute. The aluminium pegs continue on the conveyor and are deflected down the feeder chute. From the feeder chute the aluminium components are automatically fed on to the belt conveyor. An infra-red sensor is used to determine if the plastic ring ‘hopper’ is empty, or not. If it is empty, a rotary solenoid is used to dispense a ring from the assembly chute into the hopper. The hopper is positioned just above the belt conveyor and, when the aluminium peg passes, the peg engages with the hole in the ring and the two are assembled. Inductive, capacitive infra-red and fibre optic industrial sensors positioned along the belt conveyor are used to check for correct assembly. Components that have not been assembled are ejected by a solenoid into a ‘scrap’ or ‘recycle’ bin, correctly assembled components pass into a finished parts tray.
Model-Predictiive-Control--MPC-
Frequency Control in a power system
Modern-Control-
State Feedback | Feedforward | Kalman Filter
MPC-Controller
Constrained & Unconstrained MPC Controller
Multisensor-Systems---Pattern-Classification--KNN-Algorithm-
Monitoring the health condition of the rotating machine via extracting features from sensor data/measurement and applying Principal Component Analysis, PCA. Applied K-Nearest Neighbor Algorithm for classifying five faults, Fault 1 - Bearing, Fault 2 - Gear Mesh, Fault 3 - Resonance, Fault 4 - Imbalance, Fault 5 - Misalignment. In addition to this, deisgned MMSE estimator to predict the actual measured data (without noise) of wind turbine blades and implemented CUSUM two-sided test to identifiy if the measured data exceeds the desired threshold and generate an alert. A report was generated highlighting important findings and critically evaluating the results.
Optimization-Programming-
Optimization Programming / Algorithm for finding minimum
Signal-Processing-Analysis
Time-Domain & Frequency-Domain Analysis of the Sensor Data
System-Identification
Non Parametric Method | Parametric Method | Least Square | AutoCorrelation | PRBS Signal | Averaging Processing [Realization] | White Noise
awabsyed1's Repositories
awabsyed1/Model-Predictiive-Control--MPC-
Frequency Control in a power system
awabsyed1/Multisensor-Systems---Pattern-Classification--KNN-Algorithm-
Monitoring the health condition of the rotating machine via extracting features from sensor data/measurement and applying Principal Component Analysis, PCA. Applied K-Nearest Neighbor Algorithm for classifying five faults, Fault 1 - Bearing, Fault 2 - Gear Mesh, Fault 3 - Resonance, Fault 4 - Imbalance, Fault 5 - Misalignment. In addition to this, deisgned MMSE estimator to predict the actual measured data (without noise) of wind turbine blades and implemented CUSUM two-sided test to identifiy if the measured data exceeds the desired threshold and generate an alert. A report was generated highlighting important findings and critically evaluating the results.
awabsyed1/Industrial-Automation---PLC---ICT4---Conveyor-Sorting-System-w--HMI-
- Siemens TIA Portal - PLC - Bytronic Kit - HMI - PID Controller - Simumatik (Digital Twin) - Brief Discription The ICT4 is a representation of a typical industrial automation system and includes component sorting, assembly, inspection and accept/reject processes. The ICT4 can be connected to a PC through a USB connection or to a PLC using the 24V D connectors. The system has been designed to realistically represent a component sorting, assembly and inspection process that can be controlled from a PC and virtually any PLC that is commonly available. The ICT4 consists of a chain conveyor and belt conveyor that are fitted with a variety of industrial sensors and 24V d.c. actuators. In principle, the ICT4 is designed to sort an aluminium peg from a plastic ring, assemble the ring on top of the peg and then determine whether they have been correctly assembled before either accepting or rejecting the part. The components are initially randomly placed on the chain conveyor which lifts them to a higher level. When the higher level is reached, the plastic components are detected by an infra-red sensor and ejected by a solenoid down an assembly chute. The aluminium pegs continue on the conveyor and are deflected down the feeder chute. From the feeder chute the aluminium components are automatically fed on to the belt conveyor. An infra-red sensor is used to determine if the plastic ring ‘hopper’ is empty, or not. If it is empty, a rotary solenoid is used to dispense a ring from the assembly chute into the hopper. The hopper is positioned just above the belt conveyor and, when the aluminium peg passes, the peg engages with the hole in the ring and the two are assembled. Inductive, capacitive infra-red and fibre optic industrial sensors positioned along the belt conveyor are used to check for correct assembly. Components that have not been assembled are ejected by a solenoid into a ‘scrap’ or ‘recycle’ bin, correctly assembled components pass into a finished parts tray.
awabsyed1/Decision-Systems-for-Engineering-Design-
Sampling Plans | Knowledge Discovery | Optimization | Decision Support
awabsyed1/Modern-Control-
State Feedback | Feedforward | Kalman Filter
awabsyed1/MPC-Controller
Constrained & Unconstrained MPC Controller
awabsyed1/System-Identification
Non Parametric Method | Parametric Method | Least Square | AutoCorrelation | PRBS Signal | Averaging Processing [Realization] | White Noise
awabsyed1/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
awabsyed1/awabsyed1.github.io
awabsyed1/cheatsheets
Official Matplotlib cheat sheets
awabsyed1/cpython
The Python programming language
awabsyed1/Optimization-Programming-
Optimization Programming / Algorithm for finding minimum
awabsyed1/Signal-Processing-Analysis
Time-Domain & Frequency-Domain Analysis of the Sensor Data
awabsyed1/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
awabsyed1/Deadbeat-Controller-
Designing Deadbeat Controller
awabsyed1/Distance-Metrics
Different Types of Ditsance Metrics i.e., Euclidean distance
awabsyed1/Graphic-Design--Fame-2015-
Designing Fame Logo via Adobe Photoshop and After Effects
awabsyed1/interbotix_ros_manipulators
ROS Packages for Interbotix Arms
awabsyed1/isaac_ros_visual_odometry
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
awabsyed1/kalibr
The Kalibr visual-inertial calibration toolbox
awabsyed1/Lead-Lag-Compensator-
Lead Lag Compensator | Unit Step Response | Deadbeat
awabsyed1/machine-learning-matlab
awabsyed1/MAKER-PI-RP2040
MAKER-PI-RP2040 | Simplifying RP2040 for Robotics
awabsyed1/manual
This package contains the sources to typeset "A short manual for TeXworks"
awabsyed1/MATLAB-Practice-
Matrix manipulation / eigenvectors & Modelling HIRES reaction problem via differential equations
awabsyed1/MATLAB-Simulink-Practice-
Car Suspension | Positioning System | Torpedo
awabsyed1/matlab-with-python
Examples using MATLAB and Python together
awabsyed1/Model-Tesla-S-P85-and-Design-a-Speed-Control-System
Undergraduate Dissertation | Matlab | Matlab Simulink Model
awabsyed1/mpu92-calibration
Calibration procedure for the MPU9250's accelerometer, gyroscope, and magnetometer using Python and a Raspberry Pi Computer
awabsyed1/swarmhack2022
Autonomous swarm control