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Maintaining the equipment in a good performance is mandatory for business. It needs to reduce the production cost, minimize downtime, maintain product quality, safety and reduce risks. The maintenance department shall predict whether the equipment may fail in near future to minimize downtime. Parameters data which we used in this paper are temperature and vibration. We used anomaly detection to predict failure of the equipment. Anomaly detection is one of the methods which can be used to predict the failure. It detects anomalies in time series data with evenly time-spaced numerical values. Paper proposes to use Support Vector Machine method to detect anomalies. This testing was done by using Azure Machine Learning Development Studio simulation result shows that support vector machine method can detect anomalies with accuracy 0.906. [ABSTRACT FROM AUTHOR]

The 2DOF face tracking system consists of two servo motors (pan and tilt) and a camera. Both are integrated with each other and are tasked with accurately tracking each facial movement. The high performance of the system depends on the desired specifications, that is the servo can move smoothly according to facial movements. Therefore it is necessary to design an appropriate servo control method. This paper presents the Linear Quadratic Controller (LQG) control method that is simulated to the servos. The design steps include system modeling, LQG control design, and simulation. The LQG control method is one of the optimal control methods, so this paper also discusses the basic principles of optimal control design. The output of the paper can be a reference in the implementation of the servo control system that will be connected with a face tracking control system. The simulation results show that the pan system produces a system response with a rise time of 0.8614 ms and 0% overshoot. While on the tilt system, the system response with rising time is 0.951067 ms and overshoot is 0%. [ABSTRACT FROM AUTHOR]

Demand for electricity is increasing rapidly, the consequence of this is a threat to the stability of the electrical system, one of which is the voltage stability. FACTS or flexible alternating current transmission system is an electronic equipment capable of regulating electrical power transmission that can be used to overcome stability problems. This research will analyze the use of SVC and STATCOM as an equipment model from FACTS to overcome the stability of the electric power system on the most critical buses. Simulations were carried out using PSAT using case studies: a 500 kV Java-Bali network. Then the stability of the voltage is observed using the help of the PV curve which can show the value of the voltage conditions in each operating condition. SVC installation in the Java-Bali 500 kV case does not reduce the active power losses or reactive power, but also the addition of length λ is 0.233 p.u. (6.01%) and compared to the addition of length λ at STATCOM of 0.149 p.u. (3.85%). [ABSTRACT FROM AUTHOR]