Primitive Fault Research Articles

Neural Network Controlled Primitive Fault Analysis and Monitoring of Wind Turbine Gear Box

The problem considered in this paper is minimization of operational and maintenance costs of Wind Energy Conversion Systems (WECS). A continuous condition monitoring system is to be designed for reducing these costs. Hence preliminary identification of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity is made possible. The inaccessibility of Wind generators situated at heights of 30m or more height also creates problem in condition monitoring and fault diagnosis. This opens up the research on condition monitoring and fault diagnosis in WECS (blades, drive trains, and generators). Therefore different type of faults, their generated signatures, and their diagnostic schemes are discussed in this paper. The paper aims in validating the application of neural networks for the analysis of wind turbine data, so that possible future failures may be predicted and rectified earlier.

Efficient March Tests for a Reduced 3-Coupling and 4-Coupling Faults in Random-Access Memories

This paper presents two new march test algorithms, MT-R3CF and MT-R4CF, for detecting reduced 3-coupling and 4-coupling faults, respectively, in n × 1 random-access memories (RAMs). To reduce the length of the tests, only the coupling faults between physically adjacent memory cells have been considered. The tests assume that the storage cells are arranged in a rectangular grid and that the mapping from logical addresses to physical cell locations is known completely. The march tests need 30n and 41n operations, respectively. In this paper any memory fault is modelled by a set of primitive memory faults called simple faults. We prove, using an Eulerian graph model, the ability of the test algorithms to detect all simple coupling faults. This paper also includes a study regarding the ability of the test MT-R3CF to detect interacting linked 3-coupling faults. This work improves the results presented in [1] where a similar model of reduced 3-coupling faults has been considered and a march test with 38n operations has been proposed. To compare these new march tests with other published tests, simulation results are presented in this paper.

Identification of primitive faults in combinational and sequential circuits

This paper presents a method of primitive fault identification and test generation for combinational and nonscan sequential circuits. It uses the concept of sensitizing cubes to obtain input vectors that statically sensitize primitive faults in combinational circuits. The same technique is used to identify combinationally primitive faults in the next-state and output logic of sequential circuits. Such faults are primitive if and only if the fault effects on paths to state variable flip-flops can be propagated to a primary output (PO). Test sequences, including initializing sequences from a reset state and sequences that propagate fault effects from flip-flops to POs, are generated for primitive faults, wherever possible. The proposed method has been implemented and used to derive tests for primitive faults in the ISCAS'89 and MCNC'91 benchmark circuits. It was able to find all primitive faults and also obtain robust tests for a large fraction of them when the circuits were treated as combinational. When the same circuits were treated as nonscan sequential circuits, all primitive faults could not be found because fault propagation had to be limited to a relatively small number of time frames.

Primitive delay faults: identification, testing, and design for testability

We investigate two strategies to guarantee temporal correctness of a combinational circuit. We first propose a new technique to identify and test primitive faults. A primitive fault is a path delay fault that has to be tested to guarantee the performance of the circuit. Primitive faults can consist of single- (SPDF's) or multiple path delay faults (MPDF's). Testing strategies for single primitive faults exist. In this paper, we focus on identifying and testing multiple primitive faults. Identification and testing of these faults is important for at least two reasons: (1) a large percentage of paths in production circuits remain untestable under the SPDF model, and (2) distributed manufacturing defects usually adversely affect more than one path and these defects can be detected only by analyzing multiple affected paths. The SPDF's contained in a multiple primitive fault have to merge at some gate(s). Our methodology can quickly (1) rule out a large number of gates as possible merging gates for primitive faults, and (2) prune the combinations of paths that can never belong to any primitive fault. Our identification procedure also finds a test for the fault. We present a complete algorithm for identifying and testing double path delay faults, Identifying and testing all primitive faults is impractical for large designs. This is because no efficient methods are known for testing primitive faults that include a large number of paths. However, to guarantee that the performance of a digital circuit is not affected by timing defects, it is necessary to test all primitive faults. Our second contribution is a new design for testability method. Our method guarantees that only primitive faults with at most two paths can exist in the circuit in the test mode. The main idea is to efficiently identify a small set of signals for inserting test points to eliminate primitive faults with more than two paths. Our test points only provide controllability. Addition of a single test point can lower the cardinality of several primitive faults. Our approach efficiently re-evaluates primitive delay fault testability of the circuit after insertion of a test point. After a few iterations only primitive faults with at most two paths can exist in the circuit in the test mode. Experimental results on several multilevel combinational benchmark circuits are included to demonstrate the usefulness of our techniques.