
Laboratory Automation with PyVISA

Laboratory Automation with PyVISA

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et’s use the basic tools and spectrum analyzer setup I described in the last two months and use them to characterize an actual embedded processor board based on the Arduino design. I’ll be using an “OSEPP Bluetooth” board, but you can use anything on hand or similar (Figure 1). The schematic and board layout are available in Reference 1. While most Arduino-based boards use linear regulators, I chose this board from my collection because it includes a DC-DC converter and uses a two-layer design with obvious EMC issues.
Let’s make some near field probe measurements; first on the DC-DC converter. This is easy to identify because of the large 22µH inductor at the bottom of the board. We’ll non-invasively couple to the inductor (Reference 2), which is connected to the MAX1676 boost converter. Figure 3 shows the resulting frequency domain plot. Placing the spectrum analyzer in Max Hold mode, we can see a lot of switching energy extending out to 200 MHz. You’ll notice that for each plot, I record the system noise floor (yellow trace). I also placed markers at some of the resonant peaks, which we may use in possible future analyses.
Part 2
n the last blog, we discussed how the FAA and aircraft industry recognized that personal electronic devices, or PEDs, were causing problems aboard aircraft. With the proliferation of PEDs onboard, and especially those with wireless capabilities, action was needed quickly to address safety concerns. The FAA requested the RTCA form a new committee, SC-202, made up of over 100 individuals from the aircraft industry, airlines, computer, medical, telecommunication, and commercial electronics industries, consultants, FAA, and elected officials. The group was formed specifically to address PEDs that had transmitters, cellular technology, wireless radio frequency networks, and the like. These transmitting PEDs are referred to as T-PEDs.
There was a recognition that guidance for the use of T-PEDs was extremely important. Incidents were being reported, often anecdotal and erroneous or misinterpreted. However, it created much interest in the media and the public. Several issues with PEDs were found, including:
lectricity meters and other similar devices have their own set of unique standards and requirements. The following describes these requirements, the challenges involved, and the status of some requirements.
For meters going to Mexico, Comisión Federal de Electricidad (CFE) standard G0000-48-2010 is required for stand-alone meters. G0000-48-2010 derives its requirements from the IEC meter standards. In 2025, an entirely new standard for meters sold into Mexico will take effect. This standard is NOM-001-CRE and brings with it an entirely new set of requirements for meters and requires meters to have the capability for easy replacement via some type of extractable case.

ot long ago, the electrification of consumer machinery was primarily limited to hybrid electric vehicles (HEVs), marketed as the next generation of clean propulsion but largely out of reach for the average consumer. Now, with the advent of affordable, high-end microcontroller units (MCUs) and high-efficiency semiconductors, the adaptation of motor control has become more accessible, expanding electrification into secondary markets such as turf care and agricultural equipment, in addition to a growing HEV market. This shift means that embedded system or module development engineers are encountering new challenges associated with electric drives.
Central to these advanced systems are the power electronic components that constitute the inverter system. These components are responsible for converting DC voltage from a generator or battery into an appropriate signal to drive a three-phase motor. Designing and interfacing with the control electronics of inverters present unique challenges, particularly in managing signal integrity and mitigating noise. To illustrate these complexities, a typical inverter system is depicted in Figure 1.

urrent probes are used to perform conducted emission (CE) measurements in accordance with various product standards like CISPR 11, CISPR 25, or CISPR 32. All these product standards refer to the basic standard CISPR 16-1-2 (2014), which includes normative specifications for current probes in clause 5.1.3. Some of the current specifications include:
- Insertion impedance: 1 Ω impedance maximum;
- Transfer impedance: 0.1 Ω to 5 Ω in the flat linear range; 0.001 Ω to 0.1 Ω below the flat linear range (current probe terminated into 50 Ω load);
- Added shunt capacitance: less than 25 pF between the current probe housing and measured conductor; and
- Frequency response: Transfer impedance is measured over a specified frequency range to calibrate the probe; the range of individual probes is typically 10 kHz to 100 MHz, 100 MHz to 300 MHz, and 200 MHz to 1,000 MHz.

ython has become a widely used programming language in the area of electronic test automation, especially when used with the PyVISA library. While the fundamental principles of lab automation have been around for a long time (i.e., the SCPI protocol), Python and PyVISA have made it easy to get started quickly with test automation. Once data has been collected, Python also has a plethora of data analysis tools (pandas, scipy, scikit, etc.) that are useful in analyzing data.
In this article, I will introduce how to interface with instruments using Python/PyVISA and give a practical example of measuring power supply efficiency. Finally, I will introduce how to plot gathered efficiency data directly in Python.

HANDBOOK

ost markets of electrical/electronic devices require some form of third-party safety agency certification of the products before they can be sold into that market. In North America, this involves working with a third-party safety certification agency, also known as a Nationally Recognized Testing Laboratory (NRTL), the entity that verifies the product complies with the applicable UL/CSA safety standards.
Working with an NRTL such as UL or CSA can be very challenging and frustrating. The usual experience is that projects are late, costs are overrun, and certification reports are often inaccurate. This is not always the fault of the NRTL.

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his is the third and final article discussing four different circuit models of transmission lines in sinusoidal steady state. In [1], Model 1 and Model 2 were presented. Model 1 was used to present the solution of the transmission line equations. Model 2 introduced the standing waves. Model 3 discussed in [2] led to the evaluation of the values of the minima and maxima of standing waves. This article uses Model 4 to determine the locations of the minima and maxima of standing waves. This determination is first done analytically, followed by the graphical method using the Smith chart.
In Model 3, we are moving away from the source, located at z = -L to the load located at z = 0. Model 4 is shown in Figure 2.
rtificial intelligence (AI) has emerged as a significant game-changer across various industries. This influence of AI has fueled a dramatic increase in silicon fabrication, leading to substantial advancements in the semiconductor industry.
One of the most notable advancements in silicon fabrication and manufacturing is the development of high bandwidth memory (HBM) stacks. This should not be confused with the human body model for electrostatic discharge (ESD) model. These memory die stacks, which are located near the processor, have been increasing in number. This proximity and increased die stacking enhance memory density and the speed and efficiency of data transfer, significantly improving the performance of electronic devices that utilize AI hardware algorithms.
One concern with multiple die stacking is the risk of ESD at the die-to-die (D2D) interface during the manufacturing process. Because of this, there is a requirement to balance the amount of ESD protection on the interface without interfering with the speed, silicon area, and design at the interface. Progressively, advances in the D2D interconnect are becoming smaller and denser, further limiting the amount of acceptable ESD protection.
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