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The purpose of this paper is to develop the model of telemetry data processing flow (TDPF) for TDPF development and the TDPF run-time infrastructure to improve the spacecraft health monitoring capability.

This research tries to develop the TDPF by flow-based programming (FBP) method and the component-based telemetry data processing software.

The result from the case study is positive, thus reflecting the appropriateness of the suggested method.

Application of the proposed TDPF model and the component-based telemetry data processing software may result in improved development efficiency and less development costs.

This paper provides an effective way to develop TDPF without recompiling the software. It greatly facilitates the TDPF development that hopefully will save the TDPF development cost.

Flight testing of modern high performance aircraft has generated an increasingly complex data handling workload and this contributes significantly to the duration and cost of flight test programmes. Automation of this critical data handling process can reduce the high cost of such a programme by reducing its duration. The effects of automation of data flow at the ground station can be enhanced by the use of immediate flight analysis of data telemetered from the aircraft.

The purpose of this paper is to ensure the stable operation of satellites in orbit and to assist ground personnel in continuously monitoring the satellite telemetry data and finding anomalies in advance, which can improve the reliability of satellite operation and prevent catastrophic losses.

This paper proposes a deep auto-encoder (DAE) satellite anomaly advance warning framework for satellite telemetry data. Firstly, this study performs grey correlation analysis, extracts important feature attributes to construct feature vectors and builds the variational auto-encoder with bidirectional long short-term memory generative adversarial network discriminator (VAE/BLGAN). Then, the Mahalanobis distance is used to measure the reconstruction score of input and output. According to the periodic characteristic of satellite operation, a dynamic threshold method based on periodic time window is proposed. Satellite health monitoring and advance warning are achieved using reconstruction scores and dynamic thresholds.

Experiment results indicate DAE methods can probe that satellite telemetry data appear abnormal, trigger a warning before the anomaly occurring and thus allow enough time for troubleshooting. This paper further verifies that the proposed VAE/BLGAN model has stronger data learning ability than other two auto-encoder models and is sensitive to satellite monitoring data.

This paper provides a DAE framework to apply in the field of satellite health monitoring and anomaly advance warning. To the best of the authors’ knowledge, this is the first paper to combine DAE methods with satellite anomaly detection, which can promote the application of artificial intelligence in spacecraft health monitoring.

Describes how radio telemetry can interface with process control systems such as supervisory control and data acquisition [SCADA] and distributed control systems [DCS] greatly increasing their power and efficiency. Outlines the basis of radio telemetry, the behaviour of electromagnetic waves, frequency and wavelengths. Uses the water industry as an example of the use of a large scale and sophisticated SCADA system to provide date collection and control links over a large area. Concludes that the versatility of radio telemetry coupled with its cost‐effectiveness means that this technology can help to expand and improve communications in an increasing number of industries.

To develop a wireless sensor micro‐systems containing all the components of data acquisition system, such as sensors, signal‐conditioning circuits, analog‐digital converter, embedded microcontroller unit (MCU), and RF communication modules. This has now become the focus of attention in many biomedical applications.

The system prototype consists of miniature FSK transceiver integrated with MCU in one small package, chip antenna, and capacitive interface circuitry based on Delta‐sigma modulator. At the base station side, an FSK receiver/transmitter is connected to another MCU unit, which send the received data or received instructions from a PC through a graphical user interface GUI. Industrial, scientific and medical band RF (433 MHz) was used to achieve half duplex communication between the two sides. A digital filtering has been used in the capacitive interface to reduce noise effects forming capacitance to digital converter. All the modules of the mixed signal system are integrated in a printed circuit board of size 22.46 × 20.168 mm.

An innovation circuits and system techniques for building advanced smart medical devices have been discussed. Low‐power consumption and high reliability are among the main criteria that must be given priority when designing such wirelessly powered microsystems. Switched capacitors readout circuits have been found to be suitable for pressure sensing low‐power applications.

The presented wireless prototype needs a second phase of development that will lead to a further reduction in both size and power consumption. Currently, the main limitation of the RF system is the number of working hours according to the selected battery.

The developed system was found to be useful in terms of measuring pressure and temperature in a system of either slow or fast physical change. It would be a good idea to explore the system performance in human or animal trials.

This paper fulfils useful information for capacitive interface circuitries and presents a new short‐range wireless system that has different design features.

The use of mobile wireless data services continues to increase worldwide. New fourth‐generation (4G) wireless networks can deliver data rates exceeding 2 Mbps. The purpose of this paper is to develop a framework of 4G mobile applications that utilize such high data rates and run on small form‐factor devices.

The author reviews existing literature of mobile applications development and proposes using network‐related characteristics to create a conceptual framework of these applications.

Combining traffic symmetry and latency yields a 2×3 framework with six categories that characterize current and emerging 4G mobile applications, such as augmented reality, mobile social networking and m‐health.

With the advent of high‐speed 4G networks, completely new mobile applications can be developed to leverage such high data rates, and a framework of such development efforts is highly desirable.

The framework is developed based on a perspective of technical characteristics because these characteristics intrinsically constrain the kinds of broadband mobile applications that can be developed. The framework should be useful in exploring opportunities of mobile application development and guiding future research in this area.

The current and modern electrical distribution networks, named smart grids (SGs), use advanced technologies to accomplish all the technical and nontechnical challenges naturally demanded by energy applications. Energy metering collecting is one of these challenges ranging from the most basic (i.e., visual assessment) to the expensive advanced metering infrastructure (AMI) using intelligent meters networks. The AMIs’ data acquisition and system monitoring environment require enhancing some routine tasks. This paper aims to propose a methodology that uses a distributed and sustainable approach to manage wide-range metering networks, focused on using current public or private telecommunication infrastructure, optimizing the implementation and operation, increasing reliability and decreasing costs.

Inspired by blockchain technology, a collaborative metering system architecture is conceived, managing massive data sets collected from the grid. The use of cryptography handles data integrity and security issues.

A robust proof-of-concept simulation results are presented concerning the resilience and performance of the proposed distributed remote metering system.

The methodology proposed in this work is an innovative AMI solution related to SGs. Regardless of the implementation, operation and maintenance of AMIs, the proposed solution is unique, using legacy and new technologies together in a reliable way.

SpaceWire is a network designed for handling payload data and control information on‐board a spacecraft. It provides a unified, high‐speed, data‐handling infrastructure for connecting together sensors (e.g. optical or radar instruments), processing elements (e.g. digital signal processors), mass‐memory units, downlink telemetry sub‐systems and ground support equipment (GSE). SpaceWire is intended to meet the needs of future, high‐capability space missions. It supports equipment compatibility and re‐use at both the component and sub‐system levels. This paper first considers the key factors that drove the specification of SpaceWire, explaining the particular demands imposed by the space environment. The components of a SpaceWire network are then introduced. The key features of SpaceWire are summarised and the support that SpaceWire provides for fault tolerance is described. Finally a summary is given of the current status of the SpaceWire standard and its application in space missions.

Low‐power data acquisition techniques for process monitoring are becoming increasingly important.