Semiconductor memories are superb drivers for process yield and reliability improvement because of their highly structured architecture and use of aggressive layout rules. This combination provides outstanding failure signature analysis possibilities for the entire design, manufacturing, and test process. This article discusses five key disciplines of the signature analysis process that need to be orchestrated within the organization: design for test practices, test floor data collection methodology, post-test data analysis tools, root cause theorization, and physical failure analysis strategies.

Root cause of failure in automotive electronics cannot be explained by the failure signatures of failed devices. Deeper investigations in these cases reveals that a superimposition of impact factors, which can never be represented by usual qualification testing, caused the failure. This article highlights some of the most frequent early life failure types in automotive applications. It describes some of the critical things to be considered while handling packages and printed circuit board layout. The article also provides information on failure anamnesis that shows how to use history, failure signatures, environmental conditions, regional failure occurrences, user profile issues, and more in the failure analysis process to improve root cause findings.

Optoelectronic components can be readily classified as active light-emitting components (such as semiconductor lasers and light emitting diodes), electrically active but non-emitting components, and inactive components. This chapter focuses on the first category, and particularly on semiconductor lasers. The discussion begins with the basics of semiconductor lasers and the material science behind some causes of device failure. It then covers some of the common failure mechanisms, highlighting the need to identify failures as wearout or maverick failures. The chapter also covers the capabilities of many key optoelectronic failure analysis tools. The final section describes the common steps that should be followed so as to assure product reliability of optoelectronic components.

Post-mortem analysis of photovoltaic modules that have degraded performance is essential for improving the long term durability of solar energy. This article focuses on a general procedure for analyzing a failed module. The procedure includes electrical characterization followed by thermal imaging such as forward bias, reverse bias, and lock-in, and emission imaging such as electroluminescence and photoluminescence imaging.

The complexity of semiconductor chips and their packages has continuously challenged the known methods to analyze them. With larger laminates and the inclusion of multiple stacked die, methods to analyze modern semiconductor products are being pushed toward their limits to support these 2.5D and 3D packages. This article focuses on these methods of fault isolation, non-destructive imaging, and destructive techniques through an iterative process for failure analysis of complex packages.

This chapter discusses the various failure analysis techniques for microelectromechanical systems (MEMS), focusing on conventional semiconductor manufacturing processes and materials. The discussion begins with a section describing the advances in integration and packaging technologies that have helped drive the further proliferation of MEMS devices in the marketplace. It then shows some examples of the top MEMS applications and quickly discusses the fundamentals of their workings. The next section describes common failure mechanisms along with techniques and challenges in identifying them. The chapter also provides information on the testing of MEMS devices. It covers the two common challenges in sample preparation for MEMS: decapping, or opening up the package, without disturbing the MEMS elements; and removing MEMS elements for analysis. Finally, the chapter discusses the aspects of failure analysis techniques that are of particular interest to MEMS.

Passive components can be broadly divided into capacitors, resistors, and inductors. Failure analysis of these components helps determine the root cause and improve the overall quality and reliability of the electronic systems. This article describes different failure analysis approaches used for these components. It discusses different types of capacitors along with their constructions and failure modes. The types include tantalum, aluminum electrolytic, multi-layered ceramics, film, and super capacitors. The article then provides a discussion on the two common types of inductors, namely, common mode choke coil and surface mount powder choke coil.

Most of the counterfeit parts detected in the electronics industry are either novel or surplus parts or salvaged scrap parts. This article begins by discussing the type of parts used to create counterfeits. It discusses the three most commonly used methods used by counterfeiters to create counterfeits. These include relabeling, refurbishing, and repackaging. The article presents a systematic inspection methodology that can be applied for detecting signs of possible part modifications. The methodology consists of external visual inspection, marking permanency tests, and X-ray inspection followed by material evaluation and characterization. These processes are typically followed by evaluation of the packages to identify defects, degradations, and failure mechanisms that are caused by the processes (e.g., cleaning, solder dipping of leads, reballing) used in creating counterfeit parts.

Electronics spans a number of devices, their configurations, and properties. A challenge is to identify those electronic subjects essential for failure analysis. This article reviews the normal operation and terminal characteristics of MOSFET. It describes the electronic behavior of bridges, opens, and parametric delay defects, which is essential for understanding the symptoms of a failing IC. These electronic principles are then applied to a CMOS failure analysis technique using a power supply signature analysis.

This chapter presents an overview of microprocessor and application specific integrated circuit (IC) testing. It begins with a description of key industry trends that will impact how ICs will be tested in the future. Next, it provides a brief description of the most common tests applied in the IC industry, where technical issues that are causing methodology changes are emphasized. These include functional testing, structural testing, scan-based delay testing, built-in self-testing, memory testing, analog circuit testing, system-on-a-chip testing, and reliability testing. Trends discussed have driven the development of novel focus areas in test and the chapter discusses several of those areas, including test data volume containment, test power containment, and novel methods of defect-based test.

This article describes the most common, general-purpose analog design-for-test (DFT) methods, analog test buses and loopback, and shows their advantages and limitations in diagnosability and automatability. It also describes DFT and built-in self-test (BIST) techniques for the most common analog functions, namely phase-locked loop, serializer-deserializer, analog/digital converters, and radio frequency. Lastly, the challenges of creating BIST for analog functions are summarized, along with seven principles that must be exploited to meet these challenges. These principles show how the design constraints for analog BIST circuitry can be more relaxed than for the circuit under test, while delivering the required test accuracy and speed.

In the Semiconductor I/C industry, it has been well documented that the proportion of factory and customer field returns attributed to device damage resulting from electrical over-stress (EOS) and electro-static discharge (ESD) can amount to 40 to 50%. This study entailed EOS and ESD simulation using a variety of models, namely the Human Body Model (HBM), the Charged Device Model (CDM) and the so-called Machine Model (MM), and then conducting electrical and physical failure analysis and comparing the results with documented analyses performed on customer field returns and factory failures. It is shown that a distinction can be made between EOS and ESD failures and between the characteristic failure signatures produced by the ESD models. The CDM physical failure location is at the input buffer and in the gate oxide, where as both HBM and MM failures occur mostly in the contacts at the input protection structures.

This chapter surveys both basic quality and basic reliability concepts as an introduction to the failure analysis professional. It begins with a section describing the distinction between quality and reliability and moves on to provide an overview of the concept of experiment design along with an example. The chapter then discusses the purposes of reliability engineering and introduces four basic statistical distribution functions useful in reliability engineering, namely normal, lognormal, exponential, and Weibull. It also provides information on three fundamental acceleration models used by reliability engineers: Arrhenius, Eyring, and power law models. The chapter concludes with information on failure rates and mechanisms and the two techniques for uncovering reliability issues, namely burn-in and outlier screening.

Education and training play an important role if the failure analyst is to be successful in his or her work. This article discusses the history of training activities in the failure/product analysis discipline and describes where this area is heading. It provides information on three areas of education and training that should be given to the analyst for him or her to be successful developing and fielding modern semiconductor components: analysis process, technology, and technique training.

This article introduces the wafer-level fault localization failure analysis (FA) process flow for an accelerated yield ramp-up of integrated circuits. It discusses the primary design considerations of a fault localization system with an emphasis on complex tester-based applications. The article presents examples that demonstrate the benefits of the enhanced wafer-level FA process. It also introduces the setup of the wafer-level fault localization system. The application of the wafer-level FA process on a 22 nm technology device failing memory test is studied and some common design limitations and their implications are discussed. The article presents a case study and finally introduces a different value-add application flow capitalizing on the wafer-level fault localization system.

Since the introduction of chip scale packages (CSPs) in the early 90s, they have continuously increased their market share due to their advantages of small form factor, cost effectiveness and PCB optimization. The reduced package size brings challenges in performing failure analysis. This article provides an overview of CSPs and their classification as well as their advantages and applications, and reveals some of the challenges in performing failure analysis on CSPs, particularly for CSPs in special package configurations such as stacked die multi-chip-packages (MCPs) and wafer level CSPs (WLCSPs). The discussion covers special requirements of CSPs such as precision decapsulation for fine ball grid array packages, accessing the failing die for MCP packages, and careful handling for WLCSP. Solutions and best practices are shared on how to overcome these challenges. The article also presents a few case studies to demonstrate how failure analysis work on CSPs can be successfully completed.

In embedded systems, the separation between system level, board level, and individual component level failure analysis is slowly disappearing. In order to localize the initial defect area, prepare the sample for root cause analysis, and image the exact root cause, the overall functionality has to be maintained during the process. This leads to the requirement of adding additional techniques that help isolate and image defects that are buried deeply within the board structure. This article demonstrates an approach of advanced board level failure analysis by using several non-destructive localization techniques. The techniques considered for advanced fault isolation are magnetic current imaging for shorts and opens; infrared thermography for electrical shorts; time-domain-reflectometry for shorts and opens; scanning acoustic microscopy; and 2D/3D X-Ray microscopy. The individual methods and their operational principles are introduced along with case studies that will show the value of using them on board level defect analysis.

X-ray imaging systems have long played a critical role in failure analysis laboratories. This article begins by listing several favorable traits that make X-rays uniquely well suited for non-destructive evaluation and testing. It then provides information on X-ray equipment and X-ray microscopy and its application in failure analysis of integrated circuit (IC) packaging and IC boards. The final section is devoted to the discussion on nanoscale 3D X-ray microscopy and its applications.

The scanning acoustic microscope (SAM) is an important tool for development of improved molded and flip chip packages. The SAM used for integrated circuit inspection is a hybrid instrument with characteristics of both the Stanford SAM and the C-scan recorder. This chapter presents the historical development of SAM for integrated circuit package inspection, SAM theory, and analysis considerations. Case studies are presented to illustrate the practical applications of SAM. Other non-destructive imaging tools are briefly discussed, as well as SAM challenges and methods including spectral signature analysis and GHz-SAM.