steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. moreover, it is an interface between the diver and vehicle. fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. this paper addresses the fault detection and reconstruction in automotive elect...

We here analyze the parity space approach to fault detection and isolation in a stochastic setting, using a state space model with both deterministic and stochastic unmeasurable inputs. We first show the similarity and a formal relationship between a Kalman filter approach and the parity space. A first main contribution is probabilistic design of a parity space detection and diagnosis algorithm...

Parity protection at system level is typically employed to compose reliable storage systems. However, careful consideration is required when SSD based systems employ parity protection. First, additional writes are required for parity updates. Second, parity consumes space on the device, which results in write amplification from less efficient garbage collection at higher space utilization. This...

The main goal of coding theory is to devise efficient systems to exploit the full capacity of a communication channel, thus achieving an arbitrarily small error probability. Low Density Parity Check (LDPC) codes are a family of block codes—characterised by admitting a sparse parity check matrix—with good correction capabilities. In the present paper the orbits of subspaces of a finite projectiv...

We study the parity-odd sector of 3-point functions comprising scalar operators and conserved currents in conformal field theories momentum space. use space Ward identities as well spin-raising weight-shifting to fix form these correlators. discuss detail regularisation divergences their renormalisation using specific counter-terms.

This paper reviews and compares two methods for fault detection and isolation in a stochastic setting, assuming additive faults on input and output signals and stochastic unmeasurable disturbances. The first method is the parity space approach, analyzed in a stochastic setting. This leads to Kalman filter like residual generators, but with a FIR filter rather than an IIR filter as for the Kalma...