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Demand for more and improved records for test is driving a huge specifications effort, paving the style for one among most significant changes in records codecs in years.
there is respectable cause of this shift. information from device testing is becoming a important factor in examine program selections related to limits and flows. here is genuine for every little thing from automobile and medical add-ons to advanced, heterogeneous contraptions akin to processors used in servers or wise phones. And increasingly, all of those instruments are anticipated to characteristic flawlessly for longer durations of time, which may also be more than a decade for car, industrial, and medical applications.
test and statistics analytics companies have developed a whole lot of diverse strategies to guaranteeing fine, ranging from outlier detection recommendations involving dynamic part regular trying out (DPAT) to on-chip monitoring right through a chip’s lifetime. The massive difficulty today is in the facts itself. enforcing advanced examine methods with the common verify statistics layout (STDF) is becoming unwieldy. there's readily too a lot facts from too many sources.
here's why SEMI and its member corporations are establishing the rich Interactive verify database (RITdb), a proposed verify information usual aimed toward decreasing the burden for test engineers and test operations. RITdb, which is the work of SEMI’s Collaborative Alliance for Semiconductor examine (solid) RITdb working community, concentrated on the scope of look at various records and test tactics required for up to date gadgets and modern check process. Their efforts might be voted on later this year.
“There’s a lot of flexibility in RITdb to tackle dissimilar facts sources,” spoke of Mark Roos, CEO of Roos instruments and co-chair of RITdb Taskforce. “This provides the flexibleness to take care of the complexity of products that we've these days.”
It also offers a different verify element for contraptions. “The STDF represents a static view of the records and is useful for analysis after the exams are achieved” pointed out Deepak Sood, strategic marketer at Teradyne. “As industry four.0 drives more automation, the need for precise-time remarks and analysis will force other ways to entry the examine data being generated.”
To guide verify operations, the working community described a streaming protocol for any statistics produced by a examine cellphone element. This provides the meta-information about the verify method that test factories can use to put in force sensible manufacturing.
“RITdb establishes a standardized approach for records sharing and consumption of statistics right through the IC manufacturing methods from fab to closing consumer and lower back throughout the total ecosystem,” talked about Paul Trio, senior supervisor of strategic initiatives at SEMI. “RITdb helps adaptive examine and addresses the challenges of facts sharing between inner and external amenities and stakeholders.”
RITdb facilitates records analytics for the look at various ground with the aid of including examine meta-records for instance test phone accessories’ facts, which at a minimal comprises the tester, handler, software apps and board.
Fig. 1: test mobile components. supply: RITdb task drive
For the examine flooring, integrating all test mobilephone statistics into factory operations is in fact the equivalent of last mile connections.
“The examine flooring is comparatively heterogeneous when it comes to programs,” mentioned Dirk de Vries, R&D director at Synopsys. “It’s distinct carriers the usage of diverse protocols and formats. RITdb can in fact provide a fundamental soar during this appreciate, as opposed to being an evolution of current programs.”
smart manufacturing guarantees to easily control a diverse manufacturing facility space by using sharing the information inside an IoT framework. Proponents say RITdb can bring what STDF cannot, enabling smarter verify methods.
STDF operating out of gasComplaints about STDF fall into three common areas — constrained usual data, inability to act on the test records until the file is written, and a lack of suggestions concerning the look at various procedure. Engineers have developed workarounds for these obstacles, however they are cumbersome and customised. That, in flip, creates concerns in maintainability, readability, and traceability.
“As a container, the STDF is insufficient. It doesn’t hang adequate suggestions anymore. It doesn’t have the constructions obligatory to trap what is occurring within the software,” stated Stacy Ajouri, senior member of the technical team of workers at Texas instruments and co-chair of the RITdb Taskforce.
consider a 5G RF equipment, as an example. “We do high-efficiency RF measurements, which come as complex numbers, genuine and imaginary,” observed Roos. “STDF doesn’t guide any of that. It’s very ordinary in RF to do a sweep of frequencies. STDF doesn’t actually assist the conception of a sweep. after they put stuff into STDF, they lose a lot of the richness of the information.”
This becomes obtrusive even with something so simple as a chip id. “There isn’t definitely a spot in STDF natively to position a 24 alphanumeric personality die id per gadget without problems with out inventing anything in everyday records information that won’t be compatible with different individuals’s records evaluation tool,” mentioned Ian Harrison, product professional in Cohu’s Semiconductor verify neighborhood.
To tackle information types no longer regarded in the STDF, engineers make use of the widely wide-spread facts checklist (GDR). They additionally dump examine circumstances within the GDR. whereas engineers can keep any statistics they want, it’s distinct from engineer to engineer and product to product as to how the identical records could be stored.
“You would like a container that doesn’t care what you’re trying out and best cares that you should deliver the structure and can deliver it sooner or later,” said Roos. “And so that’s why RITdb is in line with a database technology, SQLite.”
the key advantage is accessibility. “With SQLite, anybody can entry the records with open supply tools like a SQLite browser,” Ajouri explained. “With a little understand how on queries you possibly can read the file and appear interior of it. that you can’t effectively do that with STDF because it’s a custom binary format with proprietary tools.”
Technically, an engineer cannot entry an STDF file until the ATE has achieved trying out the wafer or lot of devices. Yet there are a multitude of motives you could possibly want to understand the test results per die/unit all the way through look at various. Engineers had been inventive in gaining entry.
“STDF, as designed, customarily gets pushed after the file is closed,” observed Ric Dokken, an independent ATE software business enterprise. “whereas the tester is writing the STDF file, it is feasible to have a native daemon it really is analyzing the file at the identical time it’s being written.”
Adaptive testYet this only appears on the facts generated. To enable some adaptive test strategies, engineers should import records from old test steps, or from the ancient record.
“Adaptive check for us is greater on the way you have interaction with the verify software, and what information is accessible on the tester for doing this, and how can or not it's accessed,” Andre van de Geijn, enterprise construction supervisor at YieldHub. “RITdb could include a framework to make this occur. Adaptive examine might possibly be simpler with a simple option to entry the records.”
nowadays, each and every statistics analytic company has a daemon in the test telephone. “The largest difficulty is that for every tester, each OS edition on the tester (with the larger updates), you’ve obtained new methods for which you should write an agent to do those type of issues,” observed van de Geijn. through streaming the records, RITdb obviates the need for custom options.
not all and sundry has the daemons extracting information. “a few of their shoppers have closed the STDF file every few contraptions and ship a piece of the records in the STDF. but then you destroy all the traceability,” observed Cohu’s Harrison. “if you’ve broken that into lots of little items, then getting all of it again collectively and not losing a little influences information integrity of a great deal’s value of information.”
these days uniting that meta-records with the check influence information from an STDF file is viable, nevertheless it’s additionally cumbersome and blunder-susceptible.
“in case your legacy gadget produces most effective STDF files and additionally sends records via SECS/GEM to the MES (Manufacturing Execution equipment), at some point both information sources deserve to merge,” referred to Albert Fuchigami, senior application developer at PEER community. “RITdb will allow you to take all that suggestions and get it from your look at various mobilephone, so I don’t ought to merge records or be anxious about dropping facts if the connection to the MES goes down. It’s a whole lot less complicated to manipulate and to extract.”
Enabling consistency and flexibilityCreated via each and every test engineer for their product, custom STDF GDRs add a lot of work for each and every test software. RITdb will dispose of most of this work by using enabling ATE carriers to support a knowledge logging structure during which shoppers can define all of the particulars. records analytic consumers can port to their facts structure of option.
The RITdb average defines how engineers can save as a database entry with 6 columns that include sequence (time), entityID, indexID, identify, price and value2. This gives a versatile and standardized format.
Fig. 2: RITdb facts structure. source: RITdb assignment drive
“With all this adaptive verify and tuning, and so forth. they have a two-dimensional floor. it's really describing the examine and it’s per part. Now each part is just a little diverse,” spoke of Roos. “With RITdb, they can put the adaptive facts in the records log with every thing else. So it’s one consistent container. they can have the situations. they will have the adaptive counsel. these are issues STDF just can’t support.”
With the want for bi-directional precise time entry, RITdb files a streaming information protocol based mostly upon the MQTT, an open-supply, message-based communication protocol. The inclusion of true-time facts, comparable to streaming statistics, offers alternatives for factory administration. basically, there's an additional SEMI normal, test adventure Messaging for Semiconductors, which also streams records and which presently going through the pollprocess.
“Teradyne is working with a number of facts transfer technology alternatives like RITdb and TEMS. the entire switch alternatives build on a collection of conversation standards historically obtainable for tester and check floor administration systems,” noted Sood. “for example, we've labored with customers to supply precise-time test information the use of TEMS. TEMS has been deployed at a few of their valued clientele that have started on the route of trade four.0.”
Streaming statistics eases records-access mechanisms. “One first rate thing is to prevent having distinctive daemons working on an ATE,” stated de Vries. “The idea of publishing the records in a circulate that is truly enabling distinct different information consumers convinced devoid of burdening the ATE supplier with a number of proprietary protocols.”
That facts streaming is two methods, meaning that you could inject statistics into the test process. “RITdb is first rate now not best as an output, however also as an enter to a look at various software for a few of this adaptive handle. because there definitely isn't any regular structure for feeding exterior records into a verify software,” mentioned Keith Arnold, senior director of solutions at PDF options. “That’s an area where RITdb may really support because it’s flexible in structure.”
With injecting statistics right into a verify telephone, the common addresses information integrity and safety. “The integrity problem is you have to be sure you’re getting the correct facts to the preferred look at various phone. They handle this by way of guaranteeing correct and depended on facts provenance in RITdb,” Ajouri pointed out. “We wish to have faith in the information source, i.e. the place it got here from and who it got here from.”
It is not just a count of amassing the facts from distinct sources. With existing methods, merging look at various mobile data from a couple of sources for analysis functions continues to be tricky. To with no trouble leverage multiple statistics sources requires alignment. the usage of the legacy methods every check cell component could file up to the MES. With an IoT architecture, a broker in the neighborhood manages records streams, she observed.
Fig. 3: statistics streaming with RITdb. source: RITdb task drive
“in the end it is a depend of receiving the facts, processing the records, and acting upon the records. When facts has to be loaded it really is coming from IoT, it has to be delivered,” talked about van de Geijn. “Getting statistics in a consolidated manner the usage of RITdb that contains both test effects and information from IoT, here is greater of an evolution, now not revolution.”
evaluation percentages and effectivity improvementsIn combining look at various system information and test consequences data, RITdb opens up new analysis chances, as well as making current tactics more efficient.
“users will invent new and inventive things to do with this streaming information,” stated Harrison, noting this could go past the glaring adaptive check. “individuals desire yield alarms, they want calibration repute, they want configuration monitoring. They need to be aware of if a board comes out of a tester, and a different board goes in. All of these issues are enabled by way of this information concerning the check method.”
Ajouri agrees. “wise manufacturing capacity I’m taking that data along with different information in the factory and making self reliant selections that either go again or forward into the procedure,” she noted. “i will be able to Strengthen my planning and yield. i can use it to do prescriptive preservation, meaning i can identify when whatever should still be maintained before it fails and effects in a yield loss.”
verify meta-statistics has many sources. this is evident with probe cards and cargo boards for the hardware interface between the tester and the machine under examine. The contactor degrades over time and needs protection. The volume of facts during this case is becoming vastly, but these days that records isn't linked to the test manner.
“The number of interconnects that need to be established is getting an awful lot higher,” said Alan Liao, director of product advertising and marketing at FormFactor. “With an SoC, they used to have around 10K pin count each and every. Now they’re coming in at 30K pin count number. And we’ve been testing some chips that have numerous ICs built-in together that have reached 60K pin count for only one die. So the probe drive required, versus what you can aid on the prober, is getting very challenging.”
The difficulty is that the probe requires satisfactory drive to make contact, but given the fragility of all of these aspects developed at superior nodes, a mild error will trigger frequent damage.
“If the drive is not enough, you might also no longer get a solid contact,” Liao explained. “If it’s too high, then the entire bumps are going to collapse. We’re looking at superior MEMS processing in their fab to product probes for these facets. It’s difficult, however from a probe card viewpoint we’re k for now. however, if they maintain getting in this course, then probably new substances and new processes might be needed.”
These forms of issues are cropping up throughout the test business, and all of it produces greater data. “searching on the interface between us and the supplier to get board return facts that they will correlate with what’s going on their flooring,” observed Ajouri. “To birth this process we’re integrating RITdb into their board shop activities. ultimately, they are able to integrate the board store exercise with information we’re collecting on the flooring. Then they can determine unhealthy boards before they affect yield or determine a problem board that maintains moving into and out of the store.”
Streaming examine outcomes allows for detecting concerns or information developments and acting upon them. “a standard look at various run for us is 5 or 6 hours. right through that time stuff happens just like the socket fails or the yield has become sporadic. today they don’t have any manner of understanding until the examine run is accomplished,” noted Roos. “With RITdb streaming information, their shoppers can watch the information and have a rule to become aware of these opposed routine and prevent the verify run to enable corrective movements.”
Time is of the essence here. “real-time data will also be used to function analysis precise-time on the tester. suppose about working strategies like DPAT for ultimate check on the tester. RITdb has a structure that can without delay be accessed and makes it convenient to straight away discover records,” stated van de Geijn.
Synopsys’ de Vries cited that meta-records involving examine time is awfully a lot essential for improving standard equipment efficiency (OEE). Engineers engage in verify time discount to increase OEE with out cutting back nice. RITdb gives better insight into examine time than STDF.
Making the transition to RITdbMost ATE providers were actively participating during the RITdb’s development, and some have already got built in RITdb guide. For records analytic structures there exists no massive impediment for them to comprise it.
but moving from STDF to RITdb will no longer take place automatically. So what will pressure this circulation?
“You’re going to see that the adoption for RITdb is going to be a lot greater with people which are constructing complicated gadgets that require complex classes and sophisticated facts assortment,” pointed out Arnold.
here is particularly essential in areas equivalent to communications chips. “5G items will power early adoption of this typical because the ingredients are significantly extra complex,” mentioned Roos. “to satisfy quality/reliability dreams, there’s lot greater facts. So the question for test engineers is, ‘Do I do something myself or do I follow this standard?’ We’re at an excellent time with wrapping up the general for americans that make that determination.”
Complexity of the equipment isn't the best driver for migrating from STDF and SECS/GEM to RITdb. The lack of ability to take expertise of latest capabilities on the examine floor will inspire factory managers.
“requirements convey new applied sciences and new merits. Factories will see value of getting all that facts in the identical containers so nobody needs to be troubled about merging in facts from distinct sources and it is always accessible,” noted PEER neighborhood’s Fuchigami.
“It’s simply the nature of the examine cells today,” referred to Ajouri. “Some are legacy. however the complexity of newer check cells isn't the identical model as it was 10 years. I’m seeing it now as we’re taking a look at implementing a new check phone that they’re trying to enforce into an present infrastructure. I see this could be truly sub-finest, because you’re wanting to healthy into what you have already got and it’s now not going to be the advantage you think it’s going to be. if you are looking to get all the way down to the nitty gritty, you need to have a distinct system.”
“The want for acquiring and acting on actual-time verify data will pressure the shift to RITdb. this will happen in two tiers. the primary stage should be akin to these days with STDF, consumers will Strengthen RITdb records importers,” stated Sood. “The 2nd stage, that allows you to take longer, is where the MES infrastructure is developed for native RITdb. The want for shoppers to more advantageous manipulate the utilization of their fleet will speed up the transition from stage one stage two.”
ConclusionRITdb should be going throughout the SEMI ballot process on the conclusion of this 12 months. lively ballots are publicly available on the SEMI web page. simplest SEMI requisites contributors may vote, but membership is free. For essentially the most existing tips check the LinkedIn neighborhood.
RITdb possesses the hallmarks of a superb usual. All stakeholders within the test system can improvement. it will probably support existing strategies, instantly permit advancements, and enable new strategies. ultimately, it has an open framework that permits consistent device and meta test information shared in a relaxed method.
“The important part of working via a common is that it beneficial properties from the participation. over the years, there have been inputs from the participants that caused essential alterations in path,” pointed out Roos. “To tackle situations the place there’s very complex trying out being performed, they needed to be sure that they may deal with the complexity of what they did.”
RITdb’s records container in SQlite will facilitate examine engineering to assist subtle check facts evaluation and associated moves. RITdb’s streaming spec makes it possible for verify factories to flow to wise manufacturing solutions.
“RITdB is clever and chic,” pointed out ATE supplier Dokken. “statistics patrons don’t care where it came from but can be aware a way to deal with the entire information. it could actually come from the same supply or from distinctive sources. records may also be saved into structures that that are more desirable defined and in a database desk which is indexable. You understand that somebody can examine it 5 years now, these are completely improvements.”
Others agree. “We’ve been focused for so a long time on, let’s get the facts in regards to the equipment in STDF or some other layout. Now the statistics concerning the check method is fitting as vital and all of us should discover the correct thing to do with it,” noted Cohu’s Harrison. “For trade four.0 to come alongside, they want information in a greater well timed style and it must be a richer set. RITdb can do all that.”
in the conclusion, a common represents a collection of equipment for engineers to remedy problems with effectivity, financial system and efficacy. RITdb provides a new toolbox for look at various.
information becomes Key For next-Gen Chips
Sensing automobile IC disasters
Grading Chips For Longer Lifetimes
Making 3D constructions And applications greater legit
using stronger data To Shorten test Time
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